Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction. …”
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Switched Exponential State Estimation and Robust Stability for Interval Neural Networks with Discrete and Distributed Time Delays by Hongwen Xu, Huaiqin Wu, Ning Li

“…Firstly, by combining the theories of the switched systems and the interval neural networks, the mathematical model of the switched interval neural networks with discrete and distributed time delays and the interval estimation error system are established. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…The QPSO algorithm was employed to optimize the updating process of weights and biases in the artificial neural network (ANN). The results show that the accuracy of the proposed QPSO-NN model is better than the model based on backpropagation neural network (BPNN) and particle swarm optimization-neural network (PSO-NN). …”
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Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites by Halil Ibrahim Kurt, Murat Oduncuoglu

“…The extensive experimental results were taken from literature and modeled with artificial neural network (ANN). The feed forward (FF) back-propagation (BP) neural network (NN) was used to predict the dry sliding wear behavior of UHMWPE composites. …”
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Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River) by Dariush Abolfathi, Aghil Madadi, Sayyad Asghari

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Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach by Kristina Gesevičienė, Erika Besusparienė

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Research on Commercial Bank Risk Early Warning Model Based on Dynamic Parameter Optimization Neural Network by Yiming Wang

“…This article establishes a warning model of commercial banks by using a neural network. Taking the bank as an empirical sample, the constructed neural network model is used. …”
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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

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An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks by Shuai Zhou, Changcheng Yang, Yi Cheng, Jian Jiao

“…This method outperforms traditional neural networks’ multi-layer perceptrons (MLPs) in terms of compensation accuracy on both simulated and measured airborne gravity gradient data from Heilongjiang Province.…”
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Multiconstrained Network Intensive Vehicle Routing Adaptive Ant Colony Algorithm in the Context of Neural Network Analysis by Shaopei Chen, Ji Yang, Yong Li, Jingfeng Yang

“…Neural network models have recently made significant achievements in solving vehicle scheduling problems. …”
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Identifikasi Tanaman Obat Indonesia Melalui Citra Daun Menggunakan Metode Convolutional Neural Network (CNN) by Budi Setiyono, Muhammad Riv’an Arif, Qonita Qurratu Aini, Theophil Henry Soegianto, Jasti Ohanna, Ricky Andrean Fernanda Gunawan, Ayu Putri Rizkia

“…Metode Convolutional Neural Network (CNN) digunakan pada proses pengenalan tanaman herbal tersebut, karena metode ini cukup handal untuk pengenalan objek. …”
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Analysis of the Oil Content of Rapeseed Using Artificial Neural Networks Based on Near Infrared Spectral Data by Dazuo Yang, Hao Li, Chenchen Cao, Fudi Chen, Yibing Zhou, Zhilong Xiu

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Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

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A Study on the 3D Hopfield Neural Network Model via Nonlocal Atangana–Baleanu Operators by Shahram Rezapour, Pushpendra Kumar, Vedat Suat Erturk, Sina Etemad

“…Hopfield neural network (HNN) is considered as an artificial model derived from the brain structures and it is an important model that admits an adequate performance in neurocomputing. …”
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Finite element analysis and artificial neural network for stress distribution of an aircraft model in a wind tunnel by Ahmed Al-Mulla Khalaf, Sinan Al-Haddad, Bilal Al-Oubaidi, Naseem Ibrahim, Fawaz Abdulwahed, Athraa Hilal

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Corrigendum to “Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network” by Ying Chen, Ruirui Zhang

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Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…Artificial neural networks (ANN), an Artificial Intelligence (AI) technique, are both bio-inspired and nature-inspired models that mimic the operations of the human brain and the central nervous system that is capable of learning. …”
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Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions by Chih-Chiang Wei

“…Our deeper neural networks comprise multilayer perceptron (MLP), deep recurrent neural networks (DRNNs), and stacked long short-term memory (LSTM). …”
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