Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks by Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan

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Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods by Mohammad Habibzadeh, Pooyan Ayar, Mohammad Hassan Mirabimoghaddam, Mahmoud Ameri, Seyede Mojde Sadat Haghighi

“…In addition, two artificial neural network (ANN) models were developed using two kinds of learning methods to train neurons to select the best result. …”
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Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control by Ruihan Chen, Tianfeng Zhao

“…This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi-synchronization conditions are obtained with fractional order 0<α<1. …”
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Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments by Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, Lizhen Cui

“…Hence, we propose an automatic sleep stage classification method based on a convolutional neural network (CNN) combined with the fine-grained segment in multiscale entropy. …”
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Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays by Xiaofeng Chen, Qiankun Song, Xiaohui Liu, Zhenjiang Zhao

“…The complex-valued neural networks with unbounded time-varying delays are considered. …”
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Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling by Qiuxiang Bian, Jinde Cao, Jie Wu, Hongxing Yao, Tingfang Zhang, Xiaoxu Ling

“…A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. …”
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Periodic Solution for Impulsive Cellar Neural Networks with Time-Varying Delays in the Leakage Terms by Bingwen Liu, Shuhua Gong

“…This paper is concerned with impulsive cellular neural networks with time-varying delays in leakage terms. …”
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Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay by Chunge Lu, Linshan Wang

“…This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations. …”
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Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks by Thomas M Summe, Siddharth Joshi

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Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction by Yueying Li, Feng Wu

“…Finally, the improved algorithm is combined with the BP neural network to optimize the BP neural network and applied to the network security posture assessment. …”
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Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation by Chunqing Li, Zixiang Yang, Yiquan Deng, Tao Wang

“…The system is researched and developed with the hybrid programming of VC++ programming language and OpenGL, with a multifactor linear regression model of affecting MBR membrane fluxes based on neural network, applying modeling method of integer instead of float and quad tree recursion. …”
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Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications by Azeddine Mjahad, Antonio Polo-Aguado, Luis Llorens-Serrano, Alfredo Rosado-Muñoz

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A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks by Muhammed Adil Yatkin, Mihkel Kõrgesaar, Ümit Işlak

Subjects: “…recurrent neural networks (RNNs)…”
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Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks by Sobia Wassan, Chen Xi, NZ Jhanjhi, Laiqa Binte-Imran

“…The results showed that our convolutional neural network model configuration is reliable.…”
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system. …”
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Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder by Hyun Kwon

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Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays by Yuanfu Shao, Changjin Xu, Qianhong Zhang

“…By using Schaeffer's theorem and Lyapunov functional, sufficient conditions of the existence and globally exponential stability of positive periodic solution to an impulsive neural network with time-varying delays are established. …”
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Forecasting Beijing Transportation Hub Areas’s Pedestrian Flow Using Modular Neural Network by Shuwei Wang, Ronggui Zhou, Lin Zhao

“…It was concluded that the accuracy of pedestrian flow forecasting model using modular neural network was higher than other neural network models. …”
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Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle by Ruijun Liu, Dapai Shi, Chao Ma

“…Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. …”
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Synchronization in Finite Time of Fuzzy Neural Networks with Hybrid Delays and Uncertain Nonlinear Perturbations by Shuyue Zhao, Kelin Li, Weiyi Hu

“…This paper deals with the finite-time synchronization problem of a class of fuzzy neural networks with hybrid delays and uncertain nonlinear perturbations. …”
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