Neural Network Predictive Control for Vanadium Redox Flow Battery by Hai-Feng Shen, Xin-Jian Zhu, Meng Shao, Hong-fei Cao

“…This paper presents a neural network predictive control scheme to enhance the overall performance of the battery. …”
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Static Hand Gesture Recognition Based on Convolutional Neural Networks by Raimundo F. Pinto, Carlos D. B. Borges, Antônio M. A. Almeida, Iális C. Paula

“…Training and testing are performed with different convolutional neural networks, compared with architectures known in the literature and with other known methodologies. …”
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Dynamics of Fuzzy BAM Neural Networks with Distributed Delays and Diffusion by Qianhong Zhang, Lihui Yang, Jingzhong Liu

“…Constructing a new Lyapunov functional and employing inequality technique, the existence, uniqueness, and global exponential stability of the periodic oscillatory solution are investigated for a class of fuzzy bidirectional associative memory (BAM) neural networks with distributed delays and diffusion. …”
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Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm by Junxi Zhang, Shiru Qu

“…This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN model in nonlinear issues. …”
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Bearing Defect Classification Algorithm Based on Autoencoder Neural Network by Manhuai Lu, Yuanxiang Mou

“…Comparative experiments show that the neural network can effectively complete feature selection and substantially improve classification accuracy while avoiding the laborious algorithm of the conventional method.…”
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Hybrid neural networks for continual learning inspired by corticohippocampal circuits by Qianqian Shi, Faqiang Liu, Hongyi Li, Guangyu Li, Luping Shi, Rong Zhao

“…Our CH-HNNs incorporate artificial neural networks and spiking neural networks, leveraging prior knowledge to facilitate new concept learning through episode inference, and offering insights into the neural functions of both feedforward and feedback loops within corticohippocampal circuits. …”
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Pinning Synchronization of Delayed Neural Networks with Nonlinear Inner-Coupling by Yangling Wang, Jinde Cao

“…Without assuming the symmetry and irreducibility of the outer-coupling weight configuration matrices, we investigate the pinning synchronization of delayed neural networks with nonlinear inner-coupling. Some delay-dependent controlled stability criteria in terms of linear matrix inequality (LMI) are obtained. …”
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Applying a probabilistic neural network to hotel bankruptcy prediction by Manuel Ángel Fernández-Gámez, Ana José Cisneros-Ruiz, Ángela Callejón-Gil

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A Hardware Accelerator for the Inference of a Convolutional Neural network by Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza

“… Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications, e.g. image classification, speech recognition, medicine, to name a few. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…Artificial intelligence (AI) approaches can provide improved accuracy and save decent amount of time. Artificial neural networks (ANNs), as one of the best AI techniques, have the capability to classify and quantify precisely lesions and model the clinical evaluation for a specific problem. …”
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Theta function identities from optical neural network transformations by E. Elizalde, A. Romeo

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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

Subjects: “…neural networks…”
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

“…Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural networks. …”
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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…Abstract Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. …”
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Loan classification using a feed-forward neural network by U. I. Behunkou

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Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
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Model Error Correction in Data Assimilation by Integrating Neural Networks by Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo

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EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE by Ayça Sarıalioğlu Hayali, Hasan Babacan

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Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

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