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• Genome‐wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.)
  Summary Verticillium wilt (VW), caused by infection by Verticillium dahliae, is considered one of the most yield‐limiting diseases in cotton. To examine the genetic architecture of cotton VW resistance, we performed a genome‐wide association study (GWAS) using…
  openalex Tinggang Li, Xuefeng Ma, Nanyang Li, Lei Zhou 等 2017-03-29 置信度 0.72 Verticillium wiltBiologyVerticillium dahliaeGeneticsCandidate gene
• Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics
  Clinician skepticism toward opaque AI hinders adoption in high-stakes healthcare. We present AICare, an interactive and interpretable AI copilot for collaborative clinical decision-making. By analyzing longitudinal electronic health records, AICare grounds dyn…
  arxiv Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu 等 2026-01-31T13:41:32Z 置信度 0.78 cs.HCcs.AI
• Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection
  Training-free AI text detection methods primarily rely on model log-probabilities, achieving strong performance through approaches like Binoculars and DNA-DetectLLM. However, these methods face a fundamental ceiling as models are optimized through RLHF to prod…
  arxiv Priyadarshan Narayanasamy, Swastik Agrawal, Klint Faber, Fardina Fathmiul Alam 2026-05-03T00:10:15Z 置信度 0.78 cs.CL
• Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning
  Large language models (LLMs) often require fine-tuning (FT) to perform well on downstream tasks, but FT can induce safety-alignment drift even when the training dataset contains only benign data. Prior work shows that introducing a small fraction of harmful da…
  arxiv Guoli Wang, Haonan Shi, Tu Ouyang, An Wang 2026-03-08T03:42:55Z 置信度 0.78 cs.CLcs.LG
• How Can AI Find My Model? A Model-Finding Experimental Study Considering Data Formats, Embeddings, and Retrieval Strategies
  Discovering simulation models for reuse remains a fundamental challenge in Modeling and Simulation (M&S). When many models coexist, identifying those that align with a given modeling intent remains difficult. Recent advances in Artificial Intelligence (AI)…
  arxiv Jhon G. Botello, Jose J. Padilla, Erika Frydenlund, Krzysztof Rechowicz 等 2026-06-29T19:23:32Z 置信度 0.78 cs.AI
• Semantic Alignment in Hyperbolic Space for Open-Vocabulary Semantic Segmentation
  Open-vocabulary semantic segmentation requires adapting image-level vision-language models such as CLIP to dense pixel-level prediction, which is challenging due to the mismatch between hierarchical structure and semantic alignment in the embedding space. Whil…
  arxiv Hoang M. Truong, Hai Nguyen-Truong, Dang Huynh 2026-05-09T10:54:19Z 置信度 0.78 cs.CV
• VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
  Sparse autoencoders (SAEs) provide useful decompositions of Transformer residual streams, but their learned features are usually named post hoc rather than directly connected to the Transformer's token vocabulary. We introduce Vocabulary-Aligned Sparse Autoenc…
  arxiv Kairui Zhang, Ziwen Yu, Zahraa S. Abdallah, Martha Lewis 2026-06-26T10:30:56Z 置信度 0.78 cs.CLcs.AIcs.LG
• Efficiency for Experts, Visibility for Newcomers: A Case Study of Label-Code Alignment in Kubernetes
  Labels on platforms such as GitHub support triage and coordination, yet little is known about how well they align with code modifications or how such alignment affects collaboration across contributor experience levels. We present a case study of the Kubernete…
  arxiv Matteo Vaccargiu, Sabrina Aufiero, Silvia Bartolucci, Ronnie de Souza Santos 等 2026-03-25T16:42:25Z 置信度 0.78 cs.SE
• Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
  This paper proposes the Distribution-Alignment Bridge (DAB), a framework that reconceptualizes text-to-video retrieval as a distribution alignment task rather than traditional deterministic point matching. By modeling both text and video embeddings as Gaussian…
  arxiv Kyeongmo Chae, Jihoon Lee, Sangtae Ahn 2026-07-23T07:07:28Z 置信度 0.78 cs.CV
• PlantWhisperer: Designing Conversational AI to Support Plant Care
  Research in Human-Computer Interaction (HCI) has shown that caring for others, including both humans (e.g., close friends) and computers (e.g., Tamagotchi), can have a positive effect on people's wellbeing. However, we know less about the potential role of con…
  arxiv Daniel Mejer Christensen, Katja Stougård Jørgensen, Josefine Palsgaard Wyrtz, Jennie Torp Overgaard 等 2026-02-28T11:30:47Z 置信度 0.78 cs.HC
• AgentDID: Trustless Identity Authentication for AI Agents
  AI agents are autonomous entities that can be instantiated on demand, migrate across platforms, and interact with other agents or services without continuous human supervision. In such environments, identity is critical for establishing reliable interaction se…
  arxiv Minghui Xu, Xiaoyu Liu, Yihao Guo, Chunchi Liu 等 2026-04-28T03:50:01Z 置信度 0.78 cs.CR
• Super Star: Towards Streaming Real-time Interactive Agents for Digital Humans
  Existing co-speech gesture generation methods are predominantly studied in offline settings, where gestures are synthesized from complete speech segments. However, interactive digital humans in real-world scenarios are required to generate speech-synchronous g…
  arxiv Wentao Jiang, Youchen Xie, Haidi Fan, Yajing Chen 等 2026-07-22T13:53:57Z 置信度 0.78 cs.HCcs.CVcs.SD
• Convolutional Neural Network Implementation Using the TensorFlow Library for Freshness Detection in Apples
  crossref Diana Cindy Agustin, Mochamad Alfan Rosid 2023-08-16T09:00:38Z 置信度 0.70
• Comparative Study of BP Neural Network and RBF Neural Network in Surface Reconstruction
  Aiming at the surface reconstruction problem, the surface reconstruction methods based on BP and RBF neural networks are studied respectively, and the two neural network models are compared. The results show that both network models can effectively reconstruct…
  crossref Hai-jun Wang, Tao Jin 2020-01-31T02:15:47Z 置信度 0.70
• Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem
  A multilayer neural network based on multi-valued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time this network has a number of specific properties and advantages. Its backpropagation learning algorithm does not…
  crossref I. Aizenberg, D. Paliy, J.T. Astola 2008-07-18T11:27:21Z 置信度 0.70
• Sentiment Analysis on Morphologically Rich Languages: An Artificial Neural Network (ANN) Approach
  crossref Nishantha Medagoda 2016-02-03T07:15:08Z 置信度 0.70
• Recent Advances in Neural Network Applications in Process Control
  crossref 2020-11-19T00:12:42Z 置信度 0.70
• 2005 International Neural Network Society Officers
  crossref 2011-06-07T18:33:07Z 置信度 0.70
• Parallel neural network architectures
  Several parallel neural network (PNN) architectures are presented in this paper. PNNs can work parallelly and coordinately. The implementation of their training is much easier than that of a single NN. And there are many other attractive characteristics of PNN…
  crossref Wang Guoyin, Shi Hongbao 2002-11-19T13:30:57Z 置信度 0.70
• System Identification Using Discrete-Time Neural Networks
  System identification is the process of determining a dynamic model for an unknown system that can subsequently be used for feedback control purposes. On the other hand, state estimation involves determining the unknown internal states of a dynamic system. Sys…
  crossref 2020-12-02T00:22:01Z 置信度 0.70
• Image Compression using Neural Networks
  Data compression is increasingly becoming an important subject in all areas of computing and communications. While it is true that network speeds have significantly increased, and that the price of disk storage has decreased dramatically, new computer applicat…
  crossref Christopher Cramer, Erol Gelenbe 2024-12-10T09:11:09Z 置信度 0.70
• Neural Network Simulation on the MasPar MP-1 Massively Parallel Processor
  crossref K. A. Grajski, G. Chinn, C. Chen, C. Kuszmaul 等 2013-12-08T22:06:39Z 置信度 0.70
• Protein classification using a neural network database system
  Neural networks are being applied to a widely expanding area of applications, including the biological applications of protein structure prediction and DNA sequence
  crossref Cathy H. Wu, Adisorn Epidemiology, Tzx-Chung Chang 2004-02-05T16:00:56Z 置信度 0.70
• Plasticity in adult sensory cortex: a review
  There is growing evidence of significant plasticity in neuronal receptive fields and functional architecture in adult primary sensory cortex. Surgical lesions or rewiring of nerves in the periphery lead to large-scale changes in the corresponding cortical maps…
  crossref Aniruddha Das 2015-08-18T20:05:00Z 置信度 0.70
• An Innovative Air Purification Method and Neural Network Algorithm Applied to Urban Streets
  In the present work, multiphysics modeling was used to investigate the feasibility of a photocatalysis-based outdoor air purifying solution that could be used in high polluted streets, especially street canyons. The article focuses on the use of a semi-active …
  crossref Meryeme Boumahdi, Chaker El Amrani, Siegfried Denys 2021-09-17T11:47:50Z 置信度 0.70
• A Fuzzified Neural Fuzzy Inference Network that Learns from Linguistic Information
  A Fuzzified Takagi-Sugeno-Kang (TSK)-type Neural Fuzzy Inference Network (FTNFIN) for handling linguistic information is proposed in this paper. The inputs and outputs of FTNFIN may be fuzzy numbers with any shapes. The α-cut technique is used in input fuzzifi…
  crossref Chia-Feng Juang, C.-I. Lee, Tung-Jung Chan 2006-10-30T12:35:23Z 置信度 0.70
• Image Compression Using Back Propagation Neural Network
  Image compression technique is used to reduce the number of bits required in representing image, which helps to reduce the storage space and transmission cost. In the present research work back propagation neural network training algorithm has been used. Back …
  crossref Neha Jaiswal 2024-12-07T07:36:09Z 置信度 0.70
• Multivariate Parametrized Logistic Neural Network Approximation over Infinite Domains
  crossref George A. Anastassiou 2026-02-14T08:42:21Z 置信度 0.70
• Review for "The nonlinear autoregressive network with exogenous inputs (NARX) neural network to damp power system oscillations"
  crossref 2020-07-27T17:06:47Z 置信度 0.70
• EEG Correlates of Perception of Emotional Adjectives Analyzed by Neural Network’s Interpretability Values
  crossref P. Rudych, K. Ladonovskaya 2021-11-22T17:03:18Z 置信度 0.70
• In defence of single-electrode recordings
  As a physicist observing the empirical struggle of neurophysiology to penetrate the computational secrets of neo-cortex, one is struck by the coexistence of two extreme positions. One has it that the computations performed in neo-cortex are too complex to be a…
  crossref Daniel J Amit 2015-08-18T20:04:12Z 置信度 0.70
• PREDICTING THE DAILY TRAFFIC VOLUME FROM HOURLY TRAFFIC DATA USING ARTIFICIAL NEURAL NETWORK
  crossref Mohammed Saiful Alam Siddique, Shamsul Hoque 2017-07-13T08:13:38Z 置信度 0.70
• A simple white noise analysis of neuronal light responses
  A white noise technique is presented for estimating the response properties of spiking visual system neurons. The technique is simple, robust, efficient and well suited to simultaneous recordings from multiple neurons. It provides a complete and easily interpr…
  crossref E. J. Chichilnisky 2007-07-08T00:00:06Z 置信度 0.70
• Fig. 4. Cluster N 1 of the sensorimotor neural network
  crossref 2024-11-08T05:20:05Z 置信度 0.70
• Evolving Neural Network Architecture
  This work investigates the application of a stochastic search technique, evolutionary programming, for developing self-organizing neural networks. The chosen stochastic search method is capable of simultaneously evolving both network architecture and weights. …
  crossref John R. McDonnell, Don Waagen 2017-09-05T15:54:36Z 置信度 0.70
• Localized activity patterns in excitatory neuronal networks
  The existence of localized activity patterns, or bumps, has been investigated in a variety of spatially distributed neuronal network models that contain both excitatory and inhibitory coupling between cells. Here we show that a neuronal network with purely exc…
  crossref Jonathan Rubin, Amitabha Bose 2004-05-05T03:14:19Z 置信度 0.70
• Statistics of natural image categories
  In this paper we study the statistical properties of natural images belonging to different categories and their relevance for scene and object categorization tasks. We discuss how second-order statistics are correlated with image categories, scene scale and ob…
  crossref Antonio Torralba, Aude Oliva 2015-08-18T16:03:53Z 置信度 0.70
• Neural network channel equalization
  The authors present computer simulation results of the performance of conventional and perceptron-based equalizers in the presence of intersymbol interference (ISI), additive noise and co-channel interference (CCI). They show that a three-layer perceptron equa…
  crossref N.W.K. Lo, H.M. Hafez 2003-01-02T11:19:33Z 置信度 0.70
• Neural network techniques for multi-user demodulation
  Adaptive methods for demodulating multi-user communication in a direct-sequence spread-spectrum multiple-access (DS/SSMA) environment are investigated. Adaptive radial basis function (RBF) networks that operate with knowledge of only a subset of the system par…
  crossref U. Mitra, H.V. Poor 2002-12-30T22:49:31Z 置信度 0.70
• Neural signatures of motor memories emerge in neural network models
  Abstract Animals can learn and seamlessly perform a great number of behaviors. However, it is unclear how neural activity can accommodate new behaviors without interfering with those an animal has already acquired. Recent studies in monkeys performing motor an…
  crossref Joanna C Chang, Claudia Clopath, Juan A Gallego 2025-08-27T14:31:12Z 置信度 0.70
• Theory of the backpropagation neural network
  The author presents a survey of the basic theory of the backpropagation neural network architecture covering architectural design, performance measurement, function approximation capability, and learning. The survey includes previously known material, as well …
  crossref Hecht-Nielsen 2003-01-13T13:46:33Z 置信度 0.70
• Rotated General Regression Neural Network
  A rotated general regression neural network is presented as an enhancement to the general regression neural network. A variable kernel estimate for multivariate densities is considered. A coordinate transformation is adopted which circumvent the difficulty of …
  crossref M. Gholamrezaei, K. Ghorbanian 2007-11-06T20:35:49Z 置信度 0.70
• A neural network that embeds its own meta-levels
  A recurrent neural network is presented which (in principle) can, besides learning to solve problems posed by the environment, also use its own weights as input data and learn new (arbitrarily complex) algorithms for modifying its own weights in response to th…
  crossref J. Schmidhuber 2002-12-30T17:49:31Z 置信度 0.70
• A Hardware Emulator for Binary Neural Networks
  crossref Marcin Skubiszewski 2013-12-09T03:06:39Z 置信度 0.70
• On Fields of Inhibitory Influence in a Neural Network
  crossref F. Ratliff 2012-04-26T22:20:23Z 置信度 0.70
• Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
  Bayesian probability theory provides a unifying framework for data modelling. In this framework the overall aims are to find models that are well-matched to the data, and to use these models to make optimal predictions. Neural network learning is interpreted a…
  crossref David J C Mackay 2015-08-18T16:04:29Z 置信度 0.70
• On nonlinearity in neural encoding models applied to the primary visual cortex
  Within the regression framework, we show how different levels of nonlinearity influence the instantaneous firing rate prediction of single neurons. Nonlinearity can be achieved in several ways. In particular, we can enrich the predictor set with basis expansio…
  crossref Diego Vidaurre, Concha Bielza, Pedro Larrañaga 2018-04-30T12:15:08Z 置信度 0.70
• On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
  We present a simple, intuitive argument based on "invariant imbedding" in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorithm. The method evaluates the Hessian matrix of a general objective function efficiently b…
  crossref E. Mizutani, S. Dreyfus 2006-10-30T17:35:23Z 置信度 0.70
• An Improved Myocardial Infarction Detection using Convolutional Neural Network and Graph Neural Network Algorithm
  Myocardial infarction (MI) is a crucial health problem and its mortality rate is higher than that of cancer. It is the damage and death of heart muscle from the sudden blockage of a coronary artery by a blood clot. Although lots of researches have been carried…
  crossref Opeyemi Aderiike Abisoye 2024-09-02T06:47:53Z 置信度 0.70
• Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization
  Artificial neural networks, in particular, feedforward multilayer networks and basis function networks, have gradually established themselves as a usual tool in approximating complex nonlinear systems. B-spline networks, a type of basis function neural network…
  crossref L. dos Santos Coelho, R.A. Krohling 2006-10-30T17:35:23Z 置信度 0.70
• DEFUZZIFICATION OF ARTIFICIAL NEURAL NETWORK METHOD FOR LAND USE CLASSIFICATION
  crossref 2021-08-30T04:22:07Z 置信度 0.70
• Neural network based detection of EEG abnormalities.
  crossref Leon Lipoth 2018-10-04T20:10:16Z 置信度 0.70
• Figure 1: The schematic diagram of fuzzy neural network structure.
  crossref 2026-02-04T08:10:26Z 置信度 0.70
• A Structure for Neural Network Pattern Classifiers
  crossref Terrence L. Fine, Thomas W. Parks 2013-12-09T03:06:39Z 置信度 0.70
• Sequence learning in differentially activated dendrites
  Differentially activated areas of a dendrite permit the existence of zones with distinct rates of synaptic modification, and such areas can be individually accessed using a reference signal which localizes synaptic plasticity and memory trace retrieval to cert…
  crossref Bjørn Gilbert Nielsen 2015-08-18T20:03:55Z 置信度 0.70
• Algorithm 2 : Multi-swarm PSO for neural network weight update.
  crossref 2025-11-14T08:33:07Z 置信度 0.70
• GLOSSARY
  crossref 2014-07-01T08:04:20Z 置信度 0.70
• Evolving Neural Network Connectivity
  crossref J. R. McDonnell, D. Waagen 2017-08-31T18:15:42Z 置信度 0.70
• Disturbance Observer‐Based Neural Network Control of a Flexible Flapping‐Wing System
  This chapter develops the visualization model of the rigid-flexible coupled bionic flapping wing by the advanced system-level modeling software MapleSim. A novel neural network controller based on disturbance observer technology is proposed to compensate for t…
  crossref 2025-01-03T21:38:05Z 置信度 0.70
• Front Matter
  crossref 2014-07-01T08:02:55Z 置信度 0.70
• Multilingual document embedding with sequential neural network models
  One of the current state-of-the-art multilingual document embedding model LASER is based on the bidirectional LSTM (BiLSTM) neural machine translation (NMT) model. This paper presents a Transformer-based Multilingual sentence/Document Embedding model, T-MDE, w…
  crossref Wei Li 2022-10-05T04:27:30Z 置信度 0.70
• Figure 7: Confusion matrix analysis of applied neural network approaches.
  crossref 2024-05-17T03:36:29Z 置信度 0.70
• Table 6: Performance metrics for neural network based summarization methods.
  crossref 2026-02-27T08:00:24Z 置信度 0.70
• Computational learning theory and neural network learning
  crossref Peter L. Bartlett 2023-12-12T01:05:00Z 置信度 0.70
• Figure 2: Architecture of the deep neural network in AlphaDDA2.
  crossref 2022-10-04T03:06:07Z 置信度 0.70
• Neural Network Models
  The most recent development in distributional semantics is represented by models based on artificial neural networks. In this chapter, we focus on the use of neural networks to build static embeddings. Like random encoding models, neural networks incrementally…
  crossref 2023-09-07T00:06:44Z 置信度 0.70
• Table 3: The default neural network training parameters in AIMOS.
  crossref 2025-09-01T08:12:20Z 置信度 0.70
• Figure 5: A neural network that has a hidden layer.
  crossref 2025-04-07T04:48:57Z 置信度 0.70
• Review of "Neural Network Radiative Transfer for Imaging Spectroscopy"
  The paper presents a neural network developed to calculate radiative transfer for the solar spectral region in clear sky.The model is applied to retrieve the surface spectral reflectance function from PRISM (airborne imaging spectrometer) data.As examples the …
  crossref 2019-02-22T11:57:07Z 置信度 0.70
• Intelligent Neural Network Systems and Evolutionary Learning
  Although several conventional methods (e.g., pruning techniques) exist that may be used to automatically determine neural network con€guration and weights, they are often susceptible to trapping at local optima and characteristically dependent on the initial n…
  crossref 2020-12-11T12:22:47Z 置信度 0.70
• A neural network for the evaluation of hemodynamic variables
  crossref Tom Pike, Robert A Mustard 2004-11-26T05:22:41Z 置信度 0.70
• A neural network to diagnose liver cancer
  A backpropagation neural network is designed to diagnose five classifications of hepatic masses: metastatic carcinoma, hepatoma (HCC), cavernous hemangioma, abscess, and cirrhosis. BrainMaker Professional version 2.5 software is used in this research. The inpu…
  crossref P.S. Maclin, J. Dempsey 2002-12-30T22:49:31Z 置信度 0.70
• A Neural Network Based DTMF Decoder
  Communications systems frequently use a technique known as dual-tone multifrequency dialing (DTMF). Many possible solutions have been proposed for the design of DTMF decoders. Hardware-based solutions use filter banks to separate signals into low-band and high…
  crossref 2010-06-25T16:01:43Z 置信度 0.70
• Most Neural Networks Compute in Steps
  crossref Armand de Callataÿ 2013-12-09T03:06:39Z 置信度 0.70
• The projection neural network
  A novel neural network model, the projection neural network, is developed to overcome three key drawbacks of backpropagation-trained neural networks (BPNN), i.e., long training times, the large number of nodes required to form closed regions for classification…
  crossref G.D. Wilensky, N. Manukian 2003-01-02T11:19:33Z 置信度 0.70
• Inverse recall neural network model and feedback pattern recognition
  An inverse recall neural network model and a feedback pattern recognition method based on the model are proposed. The inverse recall neural network model is trained by the same method as that used for a typical multilayer feedforward model. The model can produ…
  crossref K. Yamada 2002-12-30T22:49:31Z 置信度 0.70
• Forms of Neural Network Learning
  We will explain linear networks and discuss the limitations imposed by their simple structures. For our purposes, linear networks are easier to teach, they perform certain tasks very well, and their results are easy to analyze. Chapter 6 will cover the more co…
  crossref 2014-08-07T22:25:43Z 置信度 0.70
• Analogical reasoning by neural network
  Summary form only given, as follows. Analogical reasoning by neural network is discussed. The proposed method uses a template to create a network for analogical reasoning, and this can be done by an interactive activation and competition process. Computer simu…
  crossref M. Hagiwara, Y. Anzai 2002-12-09T18:24:26Z 置信度 0.70
• On the proper treatment of eliminative connectionism
  Moderate eliminative connectionism (MEC) is outlined and defended against criticisms of Paul Smolensky's proper treatment of connectionism (PTC) position. It is argued that, contrary to certain appearances, PTC is committed to the claims of MEC that symbolic t…
  crossref Stephen Mills 2015-08-18T20:04:02Z 置信度 0.70
• Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems
  crossref I Tansel, M Demetgul, R Sierakowski 2010-04-15T18:39:16Z 置信度 0.70
• On the precision constraints of threshold elements
  The authors address the issue of the precision required by a threshold element in order to implement a linearly separable mapping of N binary inputs. In contrast to previous works they require only the ability to correctly implement, with high probability, the…
  crossref R Meir, J Fontanari 2002-08-25T02:35:54Z 置信度 0.70
• Emotion recognition from speech using convolutional neural network with recurrent neural network architecture
  Recognition of emotion is always a difficult problem, particularly if the recognition of emotion is done by using speech signal. Many significant research works have been done on emotion recognition using speech signal. The primary challenges of emotion recogn…
  crossref Saikat Basu, Jaybrata Chakraborty, Md. Aftabuddin 2018-03-22T20:25:33Z 置信度 0.70
• Mean-field analysis of neuronal spike dynamics
  I consider a mean-field description of the dynamics of interacting intergrate-and-fire neuron-like units. The basic dynamical variables are the membrane potential of each (point-like) ‘cell’ and the conductance associated with each synaptic connection, both of…
  crossref Alessandro Treves 2015-08-18T20:04:21Z 置信度 0.70
• Efficient encoding of natural optic flow
  Statistically efficient processing schemes focus the resources of a signal processing system on the range of statistically probable signals. Relying on the statistical properties of retinal motion signals during ego-motion we propose a nonlinear processing sch…
  crossref Dirk Calow, Markus Lappe 2008-10-22T17:05:28Z 置信度 0.70
• Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
  A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior …
  crossref P. Palangpour, G.K. Venayagamoorthy, K. Duffy 2006-10-30T17:35:23Z 置信度 0.70
• A shape-recognition model using dynamical links
  A shape-recognition method is proposed, inspired from the dynamic-link theory of von der Malsburg (1981). The quality of a match between two images is assessed through an elastic cost functional; the minimal value reached by the cost over a suitably-defined sp…
  crossref Elie Bienenstock, René Doursat 2002-08-24T22:35:54Z 置信度 0.70
• Randomly connected sigma–pi neurons can form associator networks
  A set of sigma–pi units randomly connected to two input vectors forms a type of hetero-associator related to convolution- and matrix-based associative memories. Associations are represented as patterns of activity rather than connection strengths. Decoding the…
  crossref Tony Plate 2002-08-25T02:58:05Z 置信度 0.70
• Recurrent Neural Network Based Gating for Natural Gas Load Prediction System
  Prediction of natural gas consumption is an important element in gas load management aimed to better utilize the facilities of a gas distribution system. The major challenges faced by developers of prediction systems are the variety and volatility of consumer …
  crossref P. Musilek, E. Pelikan, T. Brabec, M. Simunek 2008-07-18T11:34:22Z 置信度 0.70
• Artificial Neural Network Training Algorithms in Modeling of Radial Overcut in EDM
  This chapter describes with the comparison of the most used back propagations training algorithms neural networks, mainly Levenberg-Marquardt, conjugate gradient and Resilient back propagation are discussed. In the present study, using radial overcut predictio…
  crossref Raja Das, Mohan Kumar Pradhan 2021-09-17T11:47:50Z 置信度 0.70
• An external network model of the hippocampal formation
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• Exploiting Local Optima in Multiversion Neural Computing
  The training of feedforward networks, such as multilayer perceptrons (MLPs) or radial basis function (RBF) nets, is well known to be highly sensitive to initial conditions. A change in the random initialization of the weights, even when all other conditions ar…
  crossref Derek Partridge 2024-12-10T09:11:09Z 置信度 0.70
• Review for "The nonlinear autoregressive network with exogenous inputs (NARX) neural network to damp power system oscillations"
  Get your research seenMake an impact with these nine promotional tools. SEO• Use relevant keywords to make your title and abstract clear and easy to search for.• Off-page SEO strategies, like link building, can help get your paper seen. Conferences• Whether yo…
  crossref 2020-07-27T17:06:47Z 置信度 0.70
• Artificial neural network for studying human performance
  The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabil…
  crossref Mohammad Hindi Bataineh 2018-11-29T22:03:45Z 置信度 0.70
• Table 4: Configuration of neural network structure for E-MFNN.
  crossref 2024-04-19T03:43:31Z 置信度 0.70
• Useful Results
  crossref 2010-03-02T18:08:05Z 置信度 0.70
• Supplemental Information 1: ROC, BP neural network and SVM data
  crossref 2023-08-30T04:01:33Z 置信度 0.70
• Portfolio Selection with Convolutional Neural Network
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  Many methods have been used to forecast real-time electricity prices in various regions around the world. The problem is difficult because of market volatility affected by a wide range of exogenous variables from weather to natural gas prices, and accurate pri…
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