类脑计算 · 全部实体（第 17 / 100 页）

本页收录第 1601–1700 条，共 10000 条 · 返回 类脑计算 首页

• RBF Neural Network Adaptive Compensation Control for Robotic Arms
  crossref Jun Hao, Jiacheng Lou 2025-07-15T17:40:06Z 置信度 0.70
• PRECISE CROP CLASSIFICATION OF HYPERSPECTRAL IMAGES USING NEURAL NETWORK-BASED FEATURE EXTRACTION AND CLASSIFICATION MODEL
  crossref 2025-02-10T07:58:13Z 置信度 0.70
• 3D Reconstruction Method of Indoor Scene Layout based on Neural Network
  crossref Yingying Lin 2025-03-28T02:45:26Z 置信度 0.70
• Transformer-Driven Offset Convolutional Network for Brain Tumor MRI Classification
  crossref Mingrui Qi 2025-12-01T18:23:40Z 置信度 0.70
• An Enhanced Intrusion Detection and Prevention using Artificial Neural Network Technique
  crossref Kathirvel P, B. Mary Reni 2025-08-15T18:12:04Z 置信度 0.70
• Facial Expression Recognition Based on Neural Network and Feature Extraction
  crossref 2022-12-01T18:08:52Z 置信度 0.70
• Tourism Ecological Efficiency Assessment Based on Multi-Source Data Fusion and Graph Neural Network
  Abstract Currently, research on the evaluation of tourism ecological efficiency based on multi-source data fusion and graph neural networks has significant limitations: at the data level, the integration of multi-source data faces challenges related to format,…
  crossref Luoyanzi Lin, Jiehua Lv 2025-07-02T05:04:57Z 置信度 0.70
• A Novel Memristor-CMOS Hybrid Full-Adder and Its Application
  crossref Hui Yang, Shukai Duan, Lidan Wang 2019-06-26T00:02:30Z 置信度 0.70
• Parallel orthogonal deep neural network
  crossref Peyman Sheikholharam Mashhadi, Sławomir Nowaczyk, Sepideh Pashami 2021-03-13T21:54:47Z 置信度 0.70
• Neural network model for extracting optic flow
  crossref Kazuya Tohyama, Kunihiko Fukushima 2005-08-20T11:18:48Z 置信度 0.70
• Neural network identification and extraction of repetitive superimposed pulses in noisy 1-D signals
  crossref 2003-04-25T05:05:53Z 置信度 0.70
• Neural Network Smoothing in Correlated Time Series Context
  crossref F. Badran, S. Thiria 2002-07-25T12:59:42Z 置信度 0.70
• HAVNET: A New Neural Network Architecture for Pattern Recognition
  crossref Ryan G. Rosandich 2002-07-25T15:25:37Z 置信度 0.70
• Towards a neural network based therapy for hallucinatory disorders
  crossref J.Ropero Peláez 2002-07-25T17:31:48Z 置信度 0.70
• An autonomously controlled chaos neural network
  crossref M. Nakagawa 2002-12-24T01:16:22Z 置信度 0.70
• Convergence analysis of the nontrivial stationary solution of the memristor-based neural networks with reaction-diffusion terms
  crossref Helin Wang, Xinrui Jiang, Sitian Qin, Wei Zhang 等 2023-06-12T17:57:06Z 置信度 0.70
• Special session 1: Neural networks in robotics
  crossref 2013-01-31T12:22:27Z 置信度 0.70
• Regular session 3: Neural networks for classification
  crossref 2013-01-31T17:22:27Z 置信度 0.70
• A continuous-time optical neural network
  crossref Stoll, Lee 2003-01-06T21:42:02Z 置信度 0.70
• Modeling cognitive and emotional processes: A novel neural network architecture
  crossref Adnan Khashman 2010-07-15T04:59:33Z 置信度 0.70
• SecBERT: Privacy-preserving pre-training based neural network inference system
  crossref Hai Huang, Yongjian Wang 2024-01-17T16:25:21Z 置信度 0.70
• Visual navigation with a neural network
  crossref Nicholas G. Hatsopoulos, William H. Warren 2003-04-25T05:05:53Z 置信度 0.70
• Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes
  crossref Ieroham Baruch, Carlos Mariaca-Gaspar, Josefina Barrera-Cortes 2012-03-23T19:28:04Z 置信度 0.70
• Neural network classification: a Bayesian interpretation
  crossref E.A. Wan 2002-08-24T19:16:32Z 置信度 0.70
• DAS LERNFAHRZEUG NEURAL NETWORK APPLICATION FOR AUTONOMOUS MOBILE ROBOTS
  crossref Rigobert OPITZ 2014-07-01T06:37:30Z 置信度 0.70
• A Neural Network for Hyphenation
  crossref Walter Daelemans, Antal van den Bosch 2014-07-01T03:02:01Z 置信度 0.70
• GENETICALLY PROGRAMMED NEURAL NETWORK FOR SOLVING POLE-BALANCING PROBLEM
  crossref Borut Maričić 2014-07-01T06:49:32Z 置信度 0.70
• On interpretations of a feed-forward neural network
  crossref Tamura 2003-01-13T13:46:33Z 置信度 0.70
• Extension neural network
  crossref M.H. Wang, C.P. Hung 2004-03-02T02:26:50Z 置信度 0.70
• A hybrid neural network model in handwritten word recognition
  crossref Jung-Hsien Chiang 2002-07-25T22:54:47Z 置信度 0.70
• Optimization of rotationally invariant object recognition in a neural network
  crossref Stavros Busenberg, Louis Rossi 2003-04-25T01:05:53Z 置信度 0.70
• Addressing common misinterpretations of KART and UAT in neural network literature
  crossref Vugar E. Ismailov 2025-11-22T23:38:13Z 置信度 0.70
• Network-Based $$H_\infty $$ Filtering for Descriptor Markovian Jump Systems with a Novel Neural Network Event-Triggered Scheme
  crossref Yuzhong Wang, Tie Zhang, Si Chen, Junchao Ren 2021-01-08T15:03:19Z 置信度 0.70
• ADDING DECAYING SELF-FEEDBACK CONTINUOUS HOPFIELD NEURAL NETWORK CONVERGENCE ANALYSIS IN THE HYPER-CUBE SPACE
  crossref Chunguo Fei, Baili Su 2014-07-04T08:48:51Z 置信度 0.70
• Simulation and Comparison of Zhang Neural Network and Gradient Neural Network Solving for Time-Varying Matrix Square Roots
  crossref Yunong Zhang, Yiwen Yang 2009-01-14T22:41:27Z 置信度 0.70
• A CONCURRENT FUZZY NEURAL NETWORK APPROACH FOR A FUZZY GAUSSIAN NEURAL NETWORK
  crossref I. F. Iatan 2014-05-28T13:41:35Z 置信度 0.70
• Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation
  crossref Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai 等 2023-12-05T02:22:35Z 置信度 0.70
• Artificial neural network based screening of cervical cancer using a hierarchical modular neural network architecture (HMNNA) and novel benchmark uterine cervix cancer database
  crossref Mehbob Ali, Abid Sarwar, Vinod Sharma, Jyotsna Suri 2017-11-01T08:51:56Z 置信度 0.70
• NEURAL NETWORK STRUCTURES: FORM FOLLOWS FUNCTION
  crossref Alianna J. Maren 2014-06-30T12:00:51Z 置信度 0.70
• Exposing Neural Network Models
  crossref Nemanja Milosevic 2020-02-05T12:02:45Z 置信度 0.70
• Fully connected neural network
  crossref Candace Moore, Andrew Murphy 2021-10-25T02:31:31Z 置信度 0.70
• Figure 8: Results of neural network training, iterations 1–2,000.
  crossref 2023-11-13T04:21:26Z 置信度 0.70
• Learning in Memristor Crossbar-Based Spiking Neural Networks Through Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity
  crossref Nan Zheng, Pinaki Mazumder 2018-03-30T18:09:58Z 置信度 0.70
• Temperature-Drift Compensation for Memristor Crossbar In-Memory Computing by Bayesian Neural Networks
  crossref Ao Du, Xingyu Zhai, Bo Pu, Hao Xie 等 2026-01-20T20:37:20Z 置信度 0.70
• A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power
  Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-resistant epilepsy. Conventional methods usually adopt handcrafted features and manual parameter setting. The over-reliance on the expertise of specialists may lead t…
  crossref Peizhen Peng, Liping Xie, Haikun Wei 2021-03-31T03:17:14Z 置信度 0.70
• Combination of Convolutional Neural Network and Long Short Term Memory Network for Arabic Handwritten Recognition
  crossref Mamouni El Mamoun, Bouhouia Slimane, Zaouak Omar 2026-06-26T17:36:33Z 置信度 0.70
• Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control
  crossref Yao Cui, Pei Cheng 2024-05-29T07:02:18Z 置信度 0.70
• Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays
  crossref Runan Guo, Ziye Zhang, Xiaoping Liu, Chong Lin 2017-05-16T11:45:13Z 置信度 0.70
• A neural-network-based flexible assembly controller
  crossref M.D. Majors 2005-11-09T21:40:06Z 置信度 0.70
• Modeling and design of neural network architectures for neural artificial-biological hybridization based on synchronous approach
  Modélisation et conception par approche synchrone d'architectures neuronales hybrides biologique-artificiel Alors que les Réseaux de Neurones Artificiels (RNA) continuent de progresser dans des domaines tels que l'apprentissage automatique, la robotique, les v…
  crossref Marino Rasamuel 2026-04-07T17:53:57Z 置信度 0.70
• Dynamics of neural networks with non-monotone activation function
  crossref P De Felice, C Marangi, G Nardulli, G Pasquariello 等 2015-08-18T16:04:20Z 置信度 0.70
• Simulating a complete Tritonia escape swim network using a novel event-based spiking neural network algorithm
  crossref Fatemehossadat Miri, Carol I. Miles, Harold W. Lewis 2022-10-03T03:24:50Z 置信度 0.70
• 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
• Overview of emerging memristor families from resistive memristor to spintronic memristor
  Abstract Memristor is a fundamental circuit element in addition to resistor, capacitor, and inductor. As it can remember its resistance state even encountering a power off, memristor has recently received widespread applications from non-volatile memory to neu…
  crossref Lei Wang, CiHui Yang, Jing Wen, Shan Gai 等 2015-02-28T02:26:17Z 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
• Neural network approach for solving inverse problems
  crossref Ibrahim Mohamed Elshafiey 2018-08-13T15:00:58Z 置信度 0.70
• Fig. 3. Diagram of the final-iteration artificial neural network.
  crossref 2024-05-27T13:35:58Z 置信度 0.70
• A Prediction Model Combining Convolutional Neural Network and LSTM Neural Network
  crossref Ao Liu, Jing Li, Han Ye 2023-10-20T17:42:53Z 置信度 0.70
• Neural Network Control of Nonlinear Systems and Feedback Linearization
  crossref 2010-07-19T15:41:39Z 置信度 0.70
• Predefined‐time synchronization of memristor‐based bidirectional associative memory neural networks with time‐varying delays
  Abstract In this paper, two novel and general predefined‐time stability (PTSt) lemmas are introduced and applied to address the predefined‐time synchronization (PTSy) problem in memristor‐based bidirectional associative memory (BAM) neural networks. Unlike tra…
  crossref Yan Chen, Ravie Chandren Muniyandi, Shahnorbanun Sahran, Zuowei Cai 2026-04-30T00:26:00Z 置信度 0.70
• Bipartite Synchronization of Fractional-Order Memristor-Based Coupled Delayed Neural Networks with Pinning Control
  This paper investigates the bipartite synchronization of memristor-based fractional-order coupled delayed neural networks with structurally balanced and unbalanced concepts. The main result is established for the proposed model using pinning control, fractiona…
  crossref P. Babu Dhivakaran, A. Vinodkumar, S. Vijay, S. Lakshmanan 等 2022-10-09T23:31:43Z 置信度 0.70
• Adaptive finite-time synchronization of stochastic mixed time-varying delayed memristor-based neural networks
  crossref Tianliang Zhang, Feiqi Deng 2020-06-27T00:41:35Z 置信度 0.70
• SPREd: A simulation-supervised neural network tool for gene regulatory network reconstruction
  Abstract Reconstruction of gene regulatory networks (GRNs) from expression data is a significant open problem. Common approaches train a machine learning (ML) model to predict a gene’s expression using transcription factors’ (TFs’) expression as features and d…
  crossref Zijun Wu, Saurabh Sinha 2023-11-13T18:30:16Z 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
• Fuzzy Neural Networks to Multi-source Information
  crossref 2022-12-01T18:14:06Z 置信度 0.70
• Neural network based heuristics for transitive closure derivation
  crossref Zhang 2003-01-13T18:46:33Z 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 2025-08-27T14:30:53Z 置信度 0.70
• Fedgraphnet: a federated graph neural network framework for privacy-preserving traffic forecasting in heterogeneous IOT networks
  However, in fifth-generation (5G) and beyond networks, where mobile systems support non-communication applications and act as heterogeneous Internet of Things (IoT) environments, accurate forecasting is essential for proactive resource management, network slic…
  crossref Zaripova Mukaddas Djumayozovna 2026-05-30T06:20:58Z 置信度 0.70
• Sphere decoding based on Deep Neural Network
  crossref Yangyue Ma 2024-06-26T18:23:20Z 置信度 0.70
• Validating a neural network-based online adaptive system
  crossref Yan Liu 2019-10-03T13:31:22Z 置信度 0.70
• Neural Network
  crossref 2006-02-21T14:00:32Z 置信度 0.70
• Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours
  crossref R.G. Escalante, H.A. Malki 2008-07-18T15:34:22Z 置信度 0.70
• A Fully CMOS Low-Cost Chaotic Neural Network
  crossref J.L. Rossello, S. Bota, V. Canals, I. de Paul 等 2006-10-30T17:35:23Z 置信度 0.70
• Pruning Divide & Conquer networks
  crossref Steve G Romaniuk 2015-08-18T16:04:19Z 置信度 0.70
• AN IMPROVED E-MODEL USING ARTIFICIAL NEURAL NETWORK VoIP QUALITY PREDICTOR
  crossref Mousa Al-Akhras, Iman Almomani, Azzam Sleit 2014-10-17T08:37:18Z 置信度 0.70
• Generalisation and discrimination emerge from a self-organising componential network: a speech example
  crossref Chris J S Webber 2015-08-18T20:04:51Z 置信度 0.70
• Qubit Inspired Neural Network towards Its Practical Applications
  crossref K. Mori, T. Isokawa, N. Kouda, N. Matsui 等 2008-07-18T15:27:21Z 置信度 0.70
• A neural network FPGA implementation
  crossref S. Coric, I. Latinovic, A. Pavasovic 2002-11-11T09:58:51Z 置信度 0.70
• Robust neural network control of neural synchronization in the mutually coupled network
  crossref Jung E. Son, Seo Young Nam 2017-12-14T17:13:46Z 置信度 0.70
• A modular design of fuzzy neural network with application to telecommunication network management control
  crossref Lin Yu Tseng, Tzu Han Huang 2002-11-19T13:30:57Z 置信度 0.70
• Covid-19 Sentiment Analysis Using Convolutional Neural Network / Reccurent Neural Network Method
  Social media is a very important tool in this modern era , one of which is namely twitter. Twitter allows user for give opinion / opinion to various issues and topics hot / viral trending . Trending on twitter is so so fast in the process of spreading so that …
  crossref Ravensca Matatula, Danny Manongga, Hendry Hendry 2023-05-06T04:33:58Z 置信度 0.70
• MASS LOSS PREDICTION OF NEWLY DEVELOPED ALUMINIUM-BASED ALLOYS USING ARTIFICIAL NEURAL NETWORK
  crossref T. Ramesh Kumar, I. Rajendran 2014-05-06T08:40:22Z 置信度 0.70
• Finite-time matrix projective synchronization of fractional-order memristor-based delayed neural networks with parameter uncertainty
  This research examines the phenomenon of finite-time matrix projective synchronization (FTMPS) in the context of two distinct fractional-order memristor-based delayed neural networks (FOMDNNs). For the FOMDNNs with indeterminate parameters, some suitable contr…
  crossref Shangbin Xu, Bo Hu, Hai Zhang, Xinbin Chen 等 2026-02-07T16:59:15Z 置信度 0.70
• Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks
  crossref Sumit Diware, Mohammad Amin Yaldagard, Anteneh Gebregiorgis, Rajiv V. Joshi 等 2024-07-19T17:30:48Z 置信度 0.70
• DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites
  Abstract Background Addressing the laborious nature of traditional biological experiments by using an efficient computational approach to analyze RNA-binding proteins (RBPs) binding sites has always been a challenging task. RBPs play a vital role in post-trans…
  crossref Jidong Zhang, Bo Liu, Zhihan Wang, Klaus Lehnert 等 2022-06-29T04:03:13Z 置信度 0.70
• Neural Gene Network Constructor: A Neural Based Model for Reconstructing Gene Regulatory Network
  Summary Reconstructing gene regulatory networks (GRNs) and inferring the gene dynamics are important to understand the behavior and the fate of the normal and abnormal cells. Gene regulatory networks could be reconstructed by experimental methods or from gene …
  crossref Zhang Zhang, Lifei Wang, Shuo Wang, Ruyi Tao 等 2019-11-15T01:05:43Z 置信度 0.70
• Cortex, spikes and waves: the silent areas revisited
  crossref Hilton Stowell 2002-07-26T15:51:19Z 置信度 0.70
• Reply to Pearlmutter's comments on Tsai et al
  crossref Thomas Brown 2002-08-24T22:35:54Z 置信度 0.70
• Neural Network Approaches for Defect Detection in Composite Materials
  crossref T D‚ÄôOrazio, M Leo, C Guaragnella 2010-04-15T18:39:16Z 置信度 0.70
• Dynamics of a recurrent network of spiking neurons before and following learning
  crossref Daniel J Amit, Nicolas Brunel 2015-08-18T20:05:01Z 置信度 0.70
• Unsupervised discovery of invariances
  crossref Stephen Eglen, Alistair Bray, Jim Stone 2002-08-25T02:35:54Z 置信度 0.70
• A Two-Phase Genetic Local Search Algorithm for Feedforward Neural Network Training
  crossref Lin-Yu Tseng, Wen-Ching Chen 2008-07-18T15:34:22Z 置信度 0.70
• Development Of A Neural Network Model Based Controller For A Non-linear Process Application
  crossref J.B. Gomm, J.T. Evans, D. Williams, P.J.G. Lisboa 2005-08-24T16:29:31Z 置信度 0.70
• Generic and Practical Emulators for the Voltage-Controlled Memristor Models
  crossref Abdullah G. Alharbi, Masud H. Chowdhury 2020-09-01T19:06:16Z 置信度 0.70
• Adaptive neural network workflow management for Utility Management Systems
  crossref Srdan Vukmirovic, Aleksandar Erdeljan, Lendak Imre, Darko Capko 等 2010-12-09T15:34:50Z 置信度 0.70
• Comparison of Convolutional Neural Network and Artificial Neural Network for Rice Detection
  Rice is a staple food for people in tropical countries. Indonesia is a country that needs a lot of rice for its people in providing food. This country has implemented various ways to plant rice properly. Many agricultural fields have implemented harvests up to…
  crossref Endang Suherman, Djarot Hindarto, Amelia Makmur, Handri Santoso 2023-01-17T16:24:46Z 置信度 0.70
• Covid-19 Sentiment Analysis Using Convolutional Neural Network / Reccurent Neural Network Method
  Social media is a very important tool in this modern era , one of which is namely twitter. Twitter allows user for give opinion / opinion to various issues and topics hot / viral trending . Trending on twitter is so so fast in the process of spreading so that …
  crossref Ravensca Matatula, Danny Manongga, Hendry Hendry 2022-10-21T04:28:18Z 置信度 0.70