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• Neural network explanation using inversion
  crossref Emad W. Saad, Donald C. Wunsch 2006-10-07T07:24:25Z 置信度 0.70
• Matrix logarithm parametrizations for neural network covariance models
  crossref Peter M Williams 2002-07-25T23:57:31Z 置信度 0.70
• THE PYGMALION NEURAL NETWORK PROGRAMMING ENVIRONMENT
  crossref B. Angéniol, P. Treleaven 2014-07-01T02:37:43Z 置信度 0.70
• General Regression Neural Network
  crossref 2012-07-18T16:55:18Z 置信度 0.70
• Standardization of neural network terminology
  crossref R.C. Eberhart 2002-08-24T19:16:32Z 置信度 0.70
• Optical character recognition by a neural network
  crossref Michael Sabourin, Amar Mitiche 2005-10-19T13:38:58Z 置信度 0.70
• Modelling chemical modulation of neural processes
  crossref A C C Coolen, A J Noest, G B de Vries 2015-08-18T16:04:11Z 置信度 0.70
• Multivariate neural network operators with sigmoidal activation functions
  crossref Danilo Costarelli, Renato Spigler 2013-08-06T04:35:02Z 置信度 0.70
• Nonlinear Dynamical Systems: Feedforward Neural Network Perspective
  crossref 2004-02-24T21:01:05Z 置信度 0.70
• New rigorous results for the Hopfield's neural network model
  crossref Olivier François 2002-07-25T19:57:31Z 置信度 0.70
• Effects of network topology on speech categorization
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• Challenges for Neural Computing
  crossref Antony Browne 2019-09-26T04:16:27Z 置信度 0.70
• Session 6: Realizations of neural networks
  crossref 2010-12-09T10:34:50Z 置信度 0.70
• NEURAL NETWORK IMAGE SEGMENTATION FOR AUTOMATED VISUAL INSPECTION
  crossref Ullrich Schramm 2014-07-01T07:02:44Z 置信度 0.70
• Neural Network Programming Environments
  crossref M.L. Recce, P.V. Rocha, P.C. Treleaven 2014-07-01T03:04:07Z 置信度 0.70
• Persistent activity and the single-cell frequency–current curve in a cortical network model
  crossref Nicolas Brunel 2015-08-18T20:03:55Z 置信度 0.70
• Chapter Two. Fundamentals of Neural Network Models
  crossref 2014-12-01T14:10:04Z 置信度 0.70
• Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization
  crossref J. Karthick Myilvahanan, N. Mohana Sundaram 2024-06-10T07:10:42Z 置信度 0.70
• Predicting Pregnant Women’s Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System
  Background: Abortion is an important and controversial issue and one of the important reasons for the mortality of pregnant women worldwide. This study aimed to predict the risk factors of abortion in pregnant women using artificial neural network, wavelet neu…
  crossref Amir Hossein Hashemian, Behzad Mahaki, Mansour Rezaei, Leila Solouki 等 2025-05-31T02:00:22Z 置信度 0.70
• OzoNet: Atmospheric Ozone Interpolation with Deep Convolutional Neural Networks
  Abstract. We propose a deep learning method for Atmospheric Ozone Interpolation. Our method directly learns an end-to-end mapping between classically interpolated satellite ozone images and the real ozone measurements. The model's architecture represents a dee…
  crossref Mohamed Akram Zaytar, Chaker El Amrani 2019-06-03T03:32:40Z 置信度 0.70
• Other Neural Network Models
  crossref 2012-07-18T16:55:18Z 置信度 0.70
• A neural network for recognizing distantly related protein sequences
  crossref Dmitrij Frishman, Patrick Argos 2004-11-26T10:22:37Z 置信度 0.70
• Recombination and unsupervised learning: effects of crossover in the genetic optimization of neural networks
  crossref Filippo Menczer, Domenico Parisi 2015-08-18T20:04:12Z 置信度 0.70
• Autonomous development of decorrelation filters in neural networks with recurrent inhibition
  crossref H Jonker, A Coolen, J Denier van der Gon 2002-08-25T02:35:54Z 置信度 0.70
• Improved Fire Recognition in VTOL UAVs through Convolutional Neural Network Algorithmss
  South Korea, with approximately 63% of its land covered by forests, is highly susceptible to wildfires. Traditional fire detection methods—such as satellite imagery and ground-based observation—face significant limitations, including high operational costs, de…
  crossref Seo Jun Jayden Lee, Jisoo Oh, Jennifer Choi 2025-05-20T08:36:40Z 置信度 0.70
• Memristor-Based Dynamic Modeling of Muscle Fatigue
  crossref Hanz Richter, Adam Mastropieri 2025-08-21T18:17:51Z 置信度 0.70
• A cryogenic memristor
  crossref Dennis Meier, Davi Rodrigues 2025-02-11T10:02:33Z 置信度 0.70
• NEURAL NETWORK BASED CRYPTOGRAPHY
  crossref Apdullah Yayik, Yakup Kutlu 2014-05-06T08:40:22Z 置信度 0.70
• Three-Dimensional Memristor-Based Crossbar Architecture for Capsule Network Implementation
  crossref Yi Huang, Rui Hu, Zhigang Zeng 2018-08-17T19:55:47Z 置信度 0.70
• Travel Behavior of Low-Income Rural Residents: A Multidimensional Analysis Using Artificial Neural Network
  crossref 2025-09-24T08:39:02Z 置信度 0.70
• Research on SSE 50 Index Prediction Based on Wavelet Denoising and BP Neural Network with Textual Information Integration
  crossref Xin Sui, Qi Zhang, Haoran Xu 2025-08-13T09:53:11Z 置信度 0.70
• Compressing a neural network classifier using a Volterra-Neural Network model
  crossref M. Rubiolo, G. Stegmayer, D. Milone 2010-10-19T18:58:15Z 置信度 0.70
• Impact Damage Detection in a Composite Structure Using Artificial Neural Network
  crossref 2020-12-22T23:12:00Z 置信度 0.70
• Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems
  crossref 2020-12-22T23:12:00Z 置信度 0.70
• Stock Price Forecast Analysis Based on Artificial Neural Network
  crossref 2022-12-01T18:10:50Z 置信度 0.70
• Neural Network Based Collision-Free Trajectory Generator for Quadcopters
  crossref Praveen Jawaharlal Ayyanathan, Ehsan Taheri, Tyler C. Flegel, Nan Li 2025-02-12T09:44:16Z 置信度 0.70
• Recognition and categorization in a structured neural network with attractor dynamics
  crossref C Fassnacht, A Zippelius 2015-08-18T20:04:00Z 置信度 0.70
• Achieving Network Resilience Through Graph Neural Network-Enabled Deep Reinforcement Learning
  crossref Xuzeng Li, Tao Zhang, Jian Wang, Zhen Han 等 2025-02-14T13:33:06Z 置信度 0.70
• Research on Neural Network Algorithms for Predicting Displacement Distribution of Adjacent Shear Walls Under Building Implosion Conditions
  crossref Haohao Li, Hongbo Zhai, Feng Yang 2026-01-09T14:06:06Z 置信度 0.70
• Heterogeneous 2D Memristor Array and Silicon Selector for Compute-in-Memory Hardware in Convolution Neural Networks
  Abstract Memristor crossbar arrays (CBAs) based on two-dimensional (2D) materials have emerged as a potential solution to overcome the limitations of energy consumption and latency associated with the conventional von Neumann architecture. However, current 2D …
  europepmc Kah-Wee Ang, Sifan Li, Samarth Jain, Haofei Zheng 等 2024 置信度 0.80
• A practical low-power memristor-based analog neural branch predictor
  crossref Jianxing Wang, Yenni Tim, Weng-Fai Wong, Hai Helen Li 2013-12-17T20:47:27Z 置信度 0.70
• Synchronization of inertial complex-valued memristor-based neural networks with time-varying delays
  <abstract><p>The synchronization of inertial complex-valued memristor-based neural networks (ICVMNNs) with time-varying delays was explored in the paper with the non-separation and non-reduced approach. Sufficient conditions required for the expone…
  crossref Pan Wang, Xuechen Li, Qianqian Zheng 2024-02-05T12:20:46Z 置信度 0.70
• Split signals for a neural model of Bernoulli memristor
  crossref E B Solovyeva, H A Harchuk 2021-10-19T08:52:11Z 置信度 0.70
• Neural potentials as stimuli for attractor neural networks
  crossref Daniel Amit, G Parisi, S Nicolis 2002-07-26T20:10:12Z 置信度 0.70
• Learning model for coupled neural oscillators
  crossref Jun Nishii 2002-08-25T02:35:54Z 置信度 0.70
• Macroscopic properties of the cost function of a feed-forward neural network prior to training
  crossref M Roberts 2002-08-25T02:35:54Z 置信度 0.70
• Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection
  crossref Tich Phuoc Tran, T. Jan 2008-07-18T15:34:22Z 置信度 0.70
• Electrical activity and synchronization of memristor synapse-coupled HR network based on energy method
  crossref Yingchun Lu, Hongmin Li, Chunlai Li 2023-05-03T21:02:48Z 置信度 0.70
• Heterogeneous integration of 2D memristor arrays and silicon selectors for compute-in-memory hardware in convolutional neural networks
  europepmc Samarth Jain, Sifan Li, Haofei Zheng, Lingqi Li 等 2025 置信度 0.80
• Local interpretable spammer detection model with multi-head graph channel attention network
  crossref Fuzhi Zhang, Chenghang Huo, Ru Ma, Jinbo Chao 2024-12-19T03:12:42Z 置信度 0.70
• Correction: DNACoder: a CNN-LSTM attention-based network for genomic sequence data compression
  crossref K. S. Sheena, Madhu S. Nair 2025-05-21T05:20:22Z 置信度 0.70
• Adaptively trigger memory network with temporal consistency for semi-supervised long video object segmentation
  crossref Fan Zhang, Xiangxu Cao, Yuqian Zhao 2025-08-10T14:16:27Z 置信度 0.70
• CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples
  crossref Chuan Fu, Tianyuan Zhou, Tan Guo, Qikui Zhu 等 2025-02-22T11:00:30Z 置信度 0.70
• Convergent adaptive control based prescribed-time synchronization of switched fuzzy competitive network systems with time-varying delays
  crossref Dongdong Gao, Fanchao Kong, Tingwen Huang 2025-06-14T11:01:38Z 置信度 0.70
• A fast, three-layer neural network for path finding
  crossref Th Kindermann, H Cruse, K Dautenhahn 2015-08-18T16:04:30Z 置信度 0.70
• Hybrid Adaptive Neural Network for Classification of Remote Sensing Images
  crossref Swapnil Parikh, Poonima Jayaraman, D. Raj, Pravin Bhoyar 2026-03-04T19:41:27Z 置信度 0.70
• Self-organization in complex pattern spaces using a logic neural network
  crossref G Tambouratzis, D Tambouratzis 2015-08-18T20:04:38Z 置信度 0.70
• A fixed-time convergence robust zeroing neural network for the synchronization of memristor-based chaotic systems
  crossref Jing Fang, Jie Jin, Zuguo Chen, Yi Huang 等 2025-11-03T22:17:24Z 置信度 0.70
• Quasi-synchronization of neural networks via non-fragile impulsive control: Multi-layer and memristor-based
  crossref Lingna Shi, Jiarong Li, Haijun Jiang, Jinling Wang 2024-06-11T16:27:47Z 置信度 0.70
• Defect-Tolerant Crossbar Training of Memristor Ternary Neural Networks
  crossref Khoa Van Pham, Tien Van Nguyen, Kyeong-Sik Min 2020-01-23T22:15:31Z 置信度 0.70
• An efficient prediction of sentiment in social media system based on novel convolutional neural network compared with artificial neural network
  crossref M. Geetha, Kalimuddin Mondal 2025-03-03T18:00:36Z 置信度 0.70
• Leveraging the internet of things and optimized deep residual networks for improved foliar disease detection in apple orchards
  crossref Sameera Kuppam, Swarnalatha Purushotham 2025-03-24T22:51:40Z 置信度 0.70
• Hybrid deep learning based stroke detection using CT images with routing in an IoT environment
  crossref Anchana Balakrishnannair Sreekumari, Arul Teen Yesudasan Paulsy 2025-02-02T01:21:26Z 置信度 0.70
• Prediction of online public sentiment based on neural network models
  crossref Li Yi, Peng Qiao 2026-04-29T18:41:59Z 置信度 0.70
• Gradient energy valley optimization enabled segmentation and Spinal VGG-16 Net for brain tumour detection
  crossref Kishore Bhamidipati, G Anuradha, Satish Muppidi, S Anjali Devi 2025-06-23T09:38:55Z 置信度 0.70
• BCRNet: A Lightweight Branched Convolutional Neural Network Enhanced with Riemannian Geometry for End-to-End EEG-Based Emotion Recognition
  crossref Wenxia Qi, Xingfu Wang, Wenjie Yang, Wei Wang 2025-11-14T18:46:15Z 置信度 0.70
• Quantum mixed-state self-attention network
  crossref Fu Chen, Qinglin Zhao, Li Feng, Chuangtao Chen 等 2025-01-08T18:16:15Z 置信度 0.70
• Evolutionary Metaheuristics for Neural Network Optimization
  Neural networks have numerous hyperparameters, network designs, and weight combinations, making optimization challenging. Traditional methods like grid search and gradient descent often produce suboptimal solutions due to limited exploration. Genetic Algorithm…
  crossref Sridevi Tharanidharan, Prasanalakshmi Balaji, Gabriel Xiao-Guang Yue, Renuka Devi 2025-08-06T15:00:02Z 置信度 0.70
• WACSO: Wolf Crow Search Optimizer for Convolutional Neural Network Hyperparameter Optimization
  Abstract Convolutional Neural Networks (CNNs) experience performance and training efficiency changes according to the selection of correct hyperparameters. The research presents WACSO which combines Crow Search Optimization with Grey Wolf Optimizer to improve …
  crossref Rahul Rajendra Papalkar, Jayendra Jadhav, Tareek Pattewar, Vivek Thorat 等 2025-03-18T11:07:47Z 置信度 0.70
• Genetic Algorithm Based Optimization of Convolutional Neural Network for Respiratory Disease Detection
  crossref Vishwachetan D, Nandini S B, Pranjal Shrivastava, Nihal Jahagirdar 2025-09-26T09:33:50Z 置信度 0.70
• Transformer-based deep learning networks for fault detection, classification, and location prediction in transmission lines
  crossref Bousaadia Baadji, Soufiane Belagoune, Sif Eddine Boudjellal 2024-09-03T04:06:37Z 置信度 0.70
• HUNHODRL: Energy efficient resource distribution in a cloud environment using hybrid optimized deep reinforcement model with HunterPlus scheduler
  crossref Senthilkumar Chellamuthu, Kalaivani Ramanathan, Rajesh Arivanandhan 2025-03-25T01:22:55Z 置信度 0.70
• Fig. 1. Study design. Stages of training and analysis of the performance of neural networks for classification and detection of skin neoplasms. НС ― neural network. Source: Uskova K.A. et al., 2025.
  crossref 2025-05-06T11:14:34Z 置信度 0.70
• Bearing Remaining Useful Life Prediction Based on Dynamic Multiscale Spatio-Temporal Implicit Neural Differential Graph Neural Network
  crossref Jiayang Zhao, Chao Liu, Yuan Xu, Yang Fu 2026-04-28T19:46:03Z 置信度 0.70
• Graph Neural Network Architectures and Algorithms
  crossref Farhana Yasmin, Mahade Hasan, Yu Xue, Md. Mehedi Hassan 等 2025-10-31T15:28:08Z 置信度 0.70
• Attention in a neural network
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• Fig. 1. Study design. Stages of training and analysis of the performance of neural networks for classification and detection of skin neoplasms. НС ― neural network. Source: Uskova K.A. et al., 2025.
  crossref 2025-12-30T09:33:08Z 置信度 0.70
• Analyzing feature importance with neural-network-derived trees
  crossref Ernesto Vieira-Manzanera, Miguel A. Patricio, Antonio Berlanga, José M. Molina 2024-12-13T10:39:40Z 置信度 0.70
• Enhanced Physics-Informed Neural Network with Coarse Mesh Finite Element Pretraining
  crossref Ziwen Wang, Qimin Wang, Weisheng Zhang, Sheng Zhang 等 2025-07-15T17:39:55Z 置信度 0.70
• Delay-Dependent Passivity and Stability Analysis for a Class of Memristor-Based Neural Networks with Time Delay in the Leakage Term
  crossref Jian Liu, Rui Xu 2017-02-11T12:53:54Z 置信度 0.70
• An Advanced Cataract Detection Approach Using Deep Convolutional Neural Network
  crossref M. Vinesh, J. Praveenchandar, D. Linett Sophia 2026-07-31T15:51:38Z 置信度 0.70
• An Alternating Algorithm for Neural Collapse in Deep Classifier Neural Network with Arbitrary Number of Classes
  crossref Rebero Musana Mayoelton, Thuan Nguyen, Thinh Nguyen 2025-10-24T17:15:52Z 置信度 0.70
• Recent progress in memristor-based gas sensors (Gasistor; gas sensor + memristor): Device modeling, mechanisms, performance, and prospects
  crossref Mohsin Ali, Doowon Lee, Ibtisam Ahmad, Hee-Dong Kim 2024-12-07T11:39:29Z 置信度 0.70
• A novel approach for heart disease prediction using hybridized AITH ² O algorithm and SANFIS classifier
  crossref Jayachitra Sekar, Prasanth Aruchamy 2024-09-25T12:21:52Z 置信度 0.70
• A hypercube compact neural network
  crossref 2003-04-25T05:05:53Z 置信度 0.70
• Low-Complexity Method for Shortest Path Optimization Problems Based on Nanowire Memristor Network
  crossref Yanming Liu, Shenghao Wu, Ming Jian, Daixuan Wu 等 2025-06-30T17:36:02Z 置信度 0.70
• IoT device recognition based on variational autoencoder and multiscale convolutional network
  crossref Jiawei Chang 2025-06-11T23:42:31Z 置信度 0.70
• Synapse as a Memristor
  crossref Weiran Cai, Ronald Tetzlaff 2019-11-12T22:03:43Z 置信度 0.70
• Perbandingan Kinerja Arsitektur Convolutional Neural Network Pada Deteksi Malaria Menggunakan Citra Sel Darah
  Malaria masih menjadi salah satu penyebab kematian tertinggi di dunia, terutama di daerah yang berstatus endemi. Standar emas penegakan diagnosis malaria adalah berbasis citra apusan atau sel darah yang diperoleh dengan menggunakan mikroskop. Kendala utama dal…
  crossref Agung Wahyu Setiawan 2025-07-01T02:10:29Z 置信度 0.70
• You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
  crossref Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li 2026-08-06T14:44:29Z 置信度 0.70
• 3D Convolutional Neural Network to Predict the Energy Consumption of Milling Processes
  crossref Christoph Wald, Thomas Jung, Frank Schirmeier 2025-07-03T11:17:03Z 置信度 0.70
• Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays
  crossref R. Rakkiyappan, K. Sivaranjani, G. Velmurugan 2014-06-04T12:32:46Z 置信度 0.70
• User behaviour based insider threat detection model using an LSTM integrated RF model
  crossref S. K. Uma Maheswaran, L. Rajasekar, Ziaul Haque Choudhury, Makarand Shahade 2025-04-08T10:51:32Z 置信度 0.70
• JLeNeT: Jaccard LeNet for Parkinson’s disease detection and severity level classification using voice signal in IoT environment
  crossref Sundaresan Pragadeeswaran, Subramanian Kannimuthu 2025-03-12T03:20:11Z 置信度 0.70
• Eletricity Theft Detection In Smart Grids Based On Deep Neural Network
  crossref K. Naresh, C. Krishnachaitantya 2025-06-01T04:46:23Z 置信度 0.70
• Peramalan Nilai Tukar Petani Kalimantan Timur Menggunakan Metode Neural Network
  Nilai tukar petani (NTP) merupakan indikator yang sangat penting untuk mengukur daya beli para petani Indonesia, yang dimana mereka merupakan pelaku utama dalam sektor pertanian. Hal tersebut dikarenakan sektor pertanian adalah salah satu sektor utama di Indon…
  crossref Putri Aulia Rahmah, Memi Nor Hayati, Ariyanti Cahyaningsih 2025-06-02T01:36:29Z 置信度 0.70
• Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor
  crossref Shaobo He, D. Vignesh, Lamberto Rondoni, Santo Banerjee 2023-09-01T02:34:34Z 置信度 0.70
• Network Anomaly Detection Scheme Using Graph Neural Network
  <p>Traditional intrusion detection systems (IDSs) and intrusion prevention systems (IPSs) focus on detecting, preventing, and blocking known attacks and obvious threats. Contrary to these systems, the Activity and Event Network (AEN) model is a newly pro…
  crossref Patrice Kisanger 2024-09-05T16:37:05Z 置信度 0.70
• Construction of an Urban Transportation Safety Evaluation Model Based on AHP and Backpropagation Neural Network
  crossref Fei Peng, Hui Wang, Lingli Han, Ziru Zhang 2025-07-15T17:39:55Z 置信度 0.70
• Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
  crossref Tianwei Wang, Xinhui Ma, Wei Pang 2026-08-06T14:44:29Z 置信度 0.70