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• Special issue on “Neural Network Simulation”
  crossref Romain Brette, Christian Leibold 2018-04-30T12:11:54Z 置信度 0.70
• Hypothetical neural mechanism that may play a role in mental rotation: an attractor neural network model
  crossref Ľubica Beňušková, Slavomír Eštok 2002-08-25T02:35:54Z 置信度 0.70
• Speech Encryption Scheme Based on Chaotic Memristor Neural Network and S-Box
  crossref Dawei Zhao, Hui Yu, Chuan Chen, Lixiang Li 等 2024-10-31T17:07:06Z 置信度 0.70
• Memristor-based neural network hardware with hybrid stochastic neuron for fully in-situ training
  crossref Sang-Gyun Gi, Ankur Singh, Byung-Geun Lee 2025-12-25T22:55:13Z 置信度 0.70
• Neural Network in Internet Financial Services
  crossref 2022-12-01T18:14:06Z 置信度 0.70
• Finite-time synchronization of stochastic memristor-based delayed neural networks
  crossref Yanchao Shi, Peiyong Zhu 2016-08-22T06:17:41Z 置信度 0.70
• Synchronization control of a class of memristor-based recurrent neural networks
  crossref Ailong Wu, Shiping Wen, Zhigang Zeng 2011-08-09T13:47:33Z 置信度 0.70
• Algorithm for Determining Optimum Operation Tolerances of Memristor-Based Artificial Neural Networks
  crossref S.N. Danilin, S.A. Shchanikov, A.E. Sakulin 2017-12-28T21:30:30Z 置信度 0.70
• Overcoming Limitations in Evaluation of Memristor Technologies for Neural Networks
  Intrinsic switching characteristics of two resistive memory technologies, hafnia (RRAM)- and carbon nanotube (CNT)- based, are evaluated with respect to their implementation in deep neural networks (DNN) and possible mitigation approaches to performance degrad…
  crossref William Whitehead, Dmitry Veksler, Gennadi Bersuker 2020-12-22T18:59:27Z 置信度 0.70
• Neural Network
  crossref 2011-08-29T18:41:41Z 置信度 0.70
• Adaptive TCS creation and assignment mechanism for cognitive radio network using Golden Eagle optimized Hybrid Multilayer Perceptron-Convolutional Neural Network
  Abstract The authors have requested that this preprint be removed from Research Square.
  crossref Anjana Devi Javar, V. Prasanna Sriniva 2021-03-17T16:08:18Z 置信度 0.70
• Deep Learning in Python: Fundamentals of Neural Network Theory
  crossref 2019-03-26T00:13:02Z 置信度 0.70
• Neural Network Stability Fusing Robust Features
  crossref 2022-12-01T03:35:42Z 置信度 0.70
• Convolutional Neural Network in Image Recognition
  crossref 2022-12-01T05:28:48Z 置信度 0.70
• Prescribed Performance Synchronization of Memristor-Based Chaotic Systems with Uncertainties Via Neural Adaptive Learning Control Strategy
  crossref Cong Li, Shijia Zhu, Zhili Xiong, Xue Chen 等 2025-03-11T00:36:53Z 置信度 0.70
• Memristor Bridge Synapse-based Neural Network Circuit Design and Simulation of the Hardware-Implemented Artificial Neuron
  crossref Chang-ju Yang, Hyongsuk Kim 2015-08-23T20:42:44Z 置信度 0.70
• Robust neural logic block (NLB) based on memristor crossbar array
  crossref Djaafar Chabi, Weisheng Zhao, Damien Querlioz, Jacques-Olivier Klein 2011-07-08T17:44:31Z 置信度 0.70
• Hybrid Neural Network
  crossref S.W. Al-Sayegh 2006-10-30T17:35:23Z 置信度 0.70
• Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates
  crossref Zheng Yan, Jiadong Chen, Rui Hu, Tingwen Huang 等 2020-05-07T11:51:54Z 置信度 0.70
• Memristor-based neural network circuit with weighted sum simultaneous perturbation training and its applications
  crossref Cong Xu, Chunhua Wang, Yichuang Sun, Qinghui Hong 等 2021-08-20T00:15:55Z 置信度 0.70
• Memristor based spiking neural network accelerator architecture
  Spiking neural network (SNN) as the third-generation artificial neural network, has higher computational efficiency, lower resource overhead and higher biological rationality. It shows greater potential applications in audio and image processing. With the trad…
  crossref Chang-Chun Wu, Pu-Jun Zhou, Jun-Jie Wang, Guo Li 等 2022-06-17T11:05:35Z 置信度 0.70
• Neural Network Control of Robot Arm Tracking Movements
  crossref Dean Shumsheruddin 2011-12-02T14:54:17Z 置信度 0.70
• Sparsification from dilute connectivity in a neural network model of memory
  crossref Miguel Maravall 2002-08-25T02:35:54Z 置信度 0.70
• Modelling transpositional invariancy of melody recognition with an attractor neural network
  crossref Lubica Beňušková 2002-08-24T22:35:54Z 置信度 0.70
• Neural Network Diagnostics
  crossref 2007-10-28T04:36:19Z 置信度 0.70
• Internal Mechanics of Neural Network Processing
  crossref Igor Livshin 2019-04-12T15:05:25Z 置信度 0.70
• Nonlinear dynamics and sliding mode control for global fixed-time synchronization of a novel 2 × 2 memristor-based cellular neural network
  crossref Yuman Zhang, Yuxia Li 2024-10-11T12:21:52Z 置信度 0.70
• Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach
  crossref R. Rakkiyappan, D. Gayathri, G. Velmurugan, Jinde Cao 2019-01-25T11:06:03Z 置信度 0.70
• Dynamical analysis, sliding mode synchronization of a fractional-order memristor Hopfield neural network with parameter uncertainties and its non-fractional-order FPGA implementation
  crossref Karthikeyan Rajagopal, Murat Tuna, Anitha Karthikeyan, İsmail Koyuncu 等 2019-10-30T18:53:15Z 置信度 0.70
• Dynamic analysis and application in medical digital image watermarking of a new multi-scroll neural network with quartic nonlinear memristor
  crossref Fei Yu, Huifeng Chen, Xinxin Kong, Qiulin Yu 等 2022-04-07T12:05:16Z 置信度 0.70
• Neuron Deactivation Scheme for Defect-Tolerant Memristor Neural Networks
  crossref Seokjin Oh, Jiyong An, Kyeong-Sik Min 2022-07-28T19:47:12Z 置信度 0.70
• Features of memristor emulator-based artificial neural synapses
  crossref Maheshwar Pd. Sah, Changju Yang, Ram Kaji Budhathoki, Hyongsuk Kim 2013-08-14T11:40:23Z 置信度 0.70
• Memristor-based divider designs
  crossref 2018-03-24T08:06:28Z 置信度 0.70
• Memristor Emulators
  crossref Dalibor Biolek 2019-11-12T22:03:43Z 置信度 0.70
• Generalization error for a bar-counting multilayer neural network
  crossref August Romeo 2015-08-18T20:04:16Z 置信度 0.70
• A high storage capacity neural network content-addressable memory
  crossref Eric Hartman 2015-08-18T20:03:59Z 置信度 0.70
• Dynamics of an attractor neural network converting temporal into spatial correlations
  crossref Nicolas Brunel 2002-08-25T02:35:54Z 置信度 0.70
• Review for "Volatile nanocomposite memristor with a phase stratification dielectric layer: a threshold switching with rich neuromorphic dynamics"
  crossref 2026-05-28T21:09:57Z 置信度 0.70
• Research on network security situation awareness algorithm based on quantum neural network
  crossref Nan Li, Yu Wang, Haibo Zhang, Zhiqiang Li 等 2026-04-07T08:20:27Z 置信度 0.70
• Review for "Understanding the volatile memristor via direct observation of surface diffusion-regulated Cu-based conductive filaments"
  crossref 2026-04-25T21:02:46Z 置信度 0.70
• Extrasynaptic-GABA-mediated neuromodulation in a sensory cortical neural network
  crossref Osamu Hoshino 2008-05-12T13:05:12Z 置信度 0.70
• An attractor neural network model of semantic fact retrieval
  crossref E Ruppin, M Usher 2002-07-26T19:51:19Z 置信度 0.70
• Hate Speech Detection using Modified Principal Component Analysis and Enhanced Convolution Neural Network on Twitter Dataset
  Abstract Online social media are increasingly catching people’s eye among users of the Internet. Services provided by social networking vendors like Twitter and Facebook are very attractive, with widespread proliferation among internet users. As a downside of …
  crossref Majed Alowaidi 2021-05-17T14:54:50Z 置信度 0.70
• Adaptive Coati Deep Convolutional Neural Network-based Oral Cancer Diagnosis in Histopathological Images for Clinical Applications
  Abstract Oral cancer is common cancer that appears in the mouth, posing a significant threat to public health due to its high mortality rate. Oral Squamous Cell Carcinoma (OSCC) is the most prevalent type of oral cancer, accounting for most cases, and it holds…
  crossref Dharani R 2023-06-29T05:24:18Z 置信度 0.70
• Peer Review #2 of "Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles (v0.2)"
  crossref 2020-03-22T02:30:27Z 置信度 0.70
• Echo State Network Optimization: A Systematic Literature Review
  crossref Rebh Soltani, Emna Benmohamed, Hela Ltifi 2023-06-29T13:02:15Z 置信度 0.70
• Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
  crossref A. Khosravi, S. Nahavandi, D. Creighton, A. F. Atiya 2011-08-03T17:20:51Z 置信度 0.70
• Fake review and reviewer detection through behavioral graph partitioning integrating deep neural network
  crossref Bundit Manaskasemsak, Jirateep Tantisuwankul, Arnon Rungsawang 2021-04-20T08:02:34Z 置信度 0.70
• Performance Evaluation of Neural Network Based Pulse-Echo Weld Defect Classifiers
  crossref S. Seyedtabaii 2013-02-14T13:04:03Z 置信度 0.70
• Diagnosing of Skin Lesions Using Deep Convolutional Neural Network and Support Vector Machines
  Abstract The authors have requested that this preprint be removed from Research Square.
  crossref Seyede Tara Naghshbandi, Abdolhosein Fathi 2022-12-14T16:05:06Z 置信度 0.70
• Modeling of consumption of Gasoline (MS) and Diesel (HSD) in India using SARIMA and Neural Network
  Abstract Petroleum products fuel the economic engine of a country. It is vital that accurate demand forecasting is done for these products. Various forecasting methods from simple methods like moving average to complex fuzzy logic have been used to forecast th…
  crossref Ramesh Murthy 2022-11-21T21:39:05Z 置信度 0.70
• Review for "Modelling mouse auditory response dynamics along a continuum of consciousness using a deep recurrent neural network"
  crossref 2022-09-16T17:03:41Z 置信度 0.70
• Peer Review #1 of "Effect on speech emotion classification of a feature selection approach using a convolutional neural network (v0.1)"
  crossref 2021-11-08T01:33:11Z 置信度 0.70
• Peer Review #1 of "Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles (v0.1)"
  crossref 2020-03-22T02:30:26Z 置信度 0.70
• Humidity-Gated Memristive Dynamics Enabling Near-Sensor Spiking Computation for Wind Direction and Noise-Resilient Speech Recognition.
  europepmc 2026 置信度 0.80
• A novel hybrid medical image encryption scheme based on memristive chaos and DNA-ARX-3DES with Real-Time implementation.
  europepmc 2026 置信度 0.80
• Self-powered intelligence for personalized healthcare.
  europepmc 2026 置信度 0.80
• 2D Vanadium Carbide/Oxide Heterostructure-Based Artificial Sensory Neuron for Multi-Color Near-Infrared Object Recognition.
  europepmc 2026 置信度 0.80
• Compute-in-memory implementation of state space models for event sequence processing.
  europepmc 2026 置信度 0.80
• Room-Temperature Skyrmionic Synapse in 2D Ferromagnet Fe<sub>3</sub>GaTe<sub>2</sub> Operating via Collective Spin Texture Transformation.
  europepmc 2026 置信度 0.80
• Zn<sup>2+</sup> Engineered Low-Barrier LiNbO<sub>3</sub> Enables Visible-Light Programmable Ferroelectric Memristors for Noise-Immune Neuromorphic Vision.
  europepmc 2026 置信度 0.80
• Vertical Self-Rectifying Memristive Arrays for Page-Wise Parallel Logic and Arithmetic Processing.
  europepmc 2026 置信度 0.80
• Performance evaluation of green building in the process of rural revitalization driven by Artificial Intelligence and BP neural network.
  europepmc 2026 置信度 0.80
• Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.
  europepmc 2026 置信度 0.80
• Memristance and transmemristance in multiterminal memristive systems.
  Memristive devices represent promising building blocks for the development of next-generation memory technologies, computing architectures, and neuromorphic systems. In addition to conventional two-terminal memristive circuits and crossbar array structures, mu…
  europepmc Gianluca Milano, Davide Pilati, Fabio Michieletti, Alessandro Cultrera 等 2026 置信度 0.80 MemristorNeuromorphic engineeringComputer scienceCrossbar switchElectronic circuit
• Leveraging haze-aware features for improved image clarity and detection accuracy with an optimized DCNN-YOLOv8 network.
  europepmc 2026 置信度 0.80
• Memristive Baffle Systems: Design, Simulation, and Applications.
  europepmc 2026 置信度 0.80
• Bioinspired flexible sensing-processing-visualizing integrated system towards tactile-visual signal recognition.
  europepmc 2026 置信度 0.80
• Bearing fault diagnosis based on multi-branch enhanced GhostNet with adaptive focal loss.
  europepmc 2026 置信度 0.80
• Analysis and Application of a 3D Chaotic System with Flexible Offset and Frequency Control.
  europepmc 2026 置信度 0.80
• Influence of programming-pulse properties on weight-update characteristics of charge-trapping IGZO synaptic transistors.
  europepmc 2026 置信度 0.80
• Hyperchaotic fractional-order image encryption with Knight's tour scrambling for satellite imagery.
  europepmc 2026 置信度 0.80
• Giant Switchable Remanent Polarization and Photocurrent in Ferroelectric Thin Film Photomemristor for In Situ Training.
  europepmc 2026 置信度 0.80
• Diabetic Retinopathy Detection: AI Models and Approaches.
  europepmc 2026 置信度 0.80
• Artificial Neuron Based on Electrical Anisotropy from WSe<sub>2</sub> Field Effect Transistors.
  europepmc 2026 置信度 0.80
• AI-based intelligent sensing detection of cybersecurity threats using multimodal sensor data in smart devices.
  europepmc 2026 置信度 0.80
• Structure-Function Coupling in Pyridyl Triazole Copolymers for Neuromorphic Synaptic Transistors.
  europepmc 2026 置信度 0.80
• Implementation of reservoir computing using coupled microelectromechanical drum resonators via sideband-pumped phonon-cavity dynamics.
  europepmc 2026 置信度 0.80
• Multi-Physical Field Modulated P-Bit Device Based on VO<sub>2</sub> Thin Film.
  europepmc 2026 置信度 0.80
• Tunneling-Controlled Fusion of Short- and Long-Term Memory in SiO<sub>2</sub>/HfO<sub>2</sub>-Based Neuromorphic Device for Time-Series Prediction.
  europepmc 2026 置信度 0.80
• Atomistic Origin of RTN-like Centers Created and Annihilated by RRAM Write Processes.
  europepmc 2026 置信度 0.80
• On the molecular basis of enduring memory in neurons, and cell fate in fibroblasts.
  Memories can last a lifetime, and how this is achieved remains an unanswered challenge. Most current thinking sees molecular traces of memories (engrams) as sets of synaptic proteins facilitating neuronal co-firing and co-wiring. However, most proteins turn ov…
  europepmc 2026 置信度 0.80
• Non-Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures.
  europepmc 2026 置信度 0.80
• LSTM-driven chaotic keystream generator for robust medical image encryption.
  europepmc 2026 置信度 0.80
• Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction.
  europepmc 2026 置信度 0.80
• Self-referential processing as the biological switch between classical and quantum functioning of the brain.
  europepmc 2026 置信度 0.80
• Neural Network Models and N-Queen Problems
  crossref Yoshiyasu Takefuji 2011-06-11T02:59:30Z 置信度 0.70
• AI-based Computational Engineering using Hierarchical Deep Learning Neural Network
  Computational engineering is undergoing a rapid transformation due to artificial intelligence (AI), which combines data-driven learning with physics-based modeling. An important advancement is the development of Hierarchical Deep Learning Neural Networks (HDLN…
  crossref Kanika Singhal, Harshita ., Inderpreet Kaur, Madhav Bansal 等 2026-03-13T15:01:51Z 置信度 0.70
• Predicting P-glycoprotein Substrate Status Using a Pretrained Graph Neural Network: A TDC Benchmark Study
  Abstract P-glycoprotein (Pgp/ABCB1) is a critical efflux transporter that significantly impacts drug bioavailability and multidrug resistance. Accurate prediction of Pgp substrate status is essential for early-stage drug discovery. In this study, we evaluate a…
  crossref Jingjing Yan, Weicong Duan 2026-06-05T00:55:19Z 置信度 0.70
• A Two-Dimensional Bayesian Continuous Attractor Neural Network for Robust Spatial State Estimation
  Abstract Continuous Attractor Neural Networks (CANNs) have emerged as prominent bio-inspired models for spatial representation, with recent theoretical advances demonstrating their capacity for optimal Bayesian inference. However, the mathematical equivalence …
  crossref Hyo-Sang Shin, Sohyun Kim 2026-06-08T14:02:18Z 置信度 0.70
• Architecture and Scaling of the TSKI Model: A Phase–Temporal Neural Network Without a Loss Function
  Abstract This paper presents a biologically inspired neural network model based on the theoretical framework of TSKI 4.2 [1] by Atorin A., and examines its potential for architectural scaling. The model is positioned as an alternative class of neural networks …
  crossref Andrii Atorin 2026-02-18T08:26:50Z 置信度 0.70
• Deep Neural Network Approach for Efficient and Reliable Network Slicing in 5G Architecture
  crossref Ambidi Naveena, Meghana Madipalli, Narayandas Shreya Vandana, Srivarsha Pochampally 等 2026-05-05T20:00:29Z 置信度 0.70
• Prediction of Electric Load Neural Network Prediction Model for Big Data
  crossref Yangfan Zhao, Zhiying Ren, Zhifeng Song 2026-07-30T14:55:15Z 置信度 0.70
• Enhancing prostate cancer diagnosis using 99mTc-PSMA SPECT: PCA-based feature extraction and neural network classification for Gleason score analysis
  crossref Masoumeh Dorri Giv, Samer Kais Jameel, Jafar Majidpour, Sayna Jamaati 等 2026-03-03T00:53:22Z 置信度 0.70
• Invoice Recognition System based on Neural Network
  crossref 2022-12-01T03:35:42Z 置信度 0.70
• Memristor-Based Neural Network Circuit of Associative Memory With Occasion Setting
  crossref Juntao Han, Xin Cheng, Guangjun Xie, Junwei Sun 等 2023-10-02T18:07:46Z 置信度 0.70
• Hybrid Optimizer Switching for Deep Neural Network Training in Time Series Forecasting
  Deep neural networks often encounter non-convex optimization challenges during training due to the presence of local minima, saddle points, and complex loss surfaces. Existing optimization algorithms such as Adam and Stochastic Gradient Descent (SGD) offer com…
  crossref Harish Kunder 2026-07-17T15:18:22Z 置信度 0.70
• Review of: "Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition"
  crossref Hany Akeel Al-hussaniy 2026-02-08T14:36:43Z 置信度 0.70
• A Crack Growth-Guided Symbolic Regression-Neural Network Framework for Fatigue Life Prediction
  To reduce the restrictions of empirical fatigue models and improve the physical consistency of purely data-driven approaches, this study proposes a fatigue life prediction framework integrating symbolic regression with physics-informed neural networks. In this…
  crossref Dongxu Zhang, Junjie Shi, Zhixun Wen 2026-05-13T19:39:29Z 置信度 0.70
• Convolutional Neural Network Approach for Grape Leaf Disease Classification
  crossref Prateek Mahapatra, Madhumita Panda 2026-02-23T14:48:19Z 置信度 0.70