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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Position/Force Tracking Impedance Control for Robotic Systems with Uncertainties Based on Adaptive Jacobian and Neural Network by Jinzhu Peng, Zeqi Yang, Tianlei Ma

“…In this paper, an adaptive Jacobian and neural network based position/force tracking impedance control scheme is proposed for controlling robotic systems with uncertainties and external disturbances. …”
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VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction by Omer Nacar, Mohamed Abdelkader, Lahouari Ghouti, Kahled Gabr, Abdulrahman Al-Batati, Anis Koubaa

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Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…In this paper, a modeling and error compensation method for AACMM is proposed based on BP Neural Networks. According to the available measurements, the poses of the AACMM are used as the input, and the coordinates of the probe are used as the output of neural network. …”
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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…For the last two decades, a large number of Artificial Neural Networks based learning models have been proposed to solve the problems of financial data and get accurate results in prediction of the future trends and prices. …”
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