Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network by Junfang Li, Minfeng Yao, Qian Fu

“…In this paper, a new variable, population per distance band, is considered and a back propagation neural network (BPNN) model which can reflect nonlinear relationship between ridership and its predictors is proposed to forecast ridership. …”
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Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting by Wang Zhong, Wang Yue, Wang Haoran, Tang Nan, Wang Shuyue

Subjects: “…Temporal convolution neural network…”
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Development Assessment of Higher Education System Based on TOPSIS-Entropy, Hopfield Neural Network, and Cobweb Model by Xian-Bei Liu, Yu-Jing Zhang, Wen-Kai Cui, Li-Ting Wang, Jia-Ming Zhu

“…According to the level of the score, we divide the development status into 5 categories, and use discrete Hopfield neural network for verification. In addition, we applied the model to many countries and chose Vietnam to conduct an in-depth analysis of the model, including reforming policies and evaluating policy effects based on cobweb model. …”
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Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network by Songmao Yu, Lei Wang, Tianwei Li

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Retracted: Event Scene Method of Legal Domain Knowledge Map Based on Neural Network Hybrid Model by Applied Bionics and Biomechanics

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Adaptive Compensation Control of Closed-chain Lower Limb Rehabilitation Robots Based on the RBF Neural Network by Li Dongqi, Qin Jianjun, Sun Maolin, Zheng Haoran, Li Wei

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A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis by Hong Nhung-Nguyen, Young-Woo Youn, Yong-Hwa Kim

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Approach of information security assessment for ATM system based on improved BP model of artificial neural network by WU Zhi-jun, WANG Lu, SHI Rong

Subjects: “…artificial neural network…”
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The Aide Diagnosis of Cardiac Heart Diseases Using a Deoxyribonucleic Acid Based Backpropagation Neural Network by Li Shi, Zhizhong Wang, Lijia Wang, Jinying Zhang

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Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction by Marco Antonio Aceves-Fernández, Ricardo Domínguez-Guevara, Jesus Carlos Pedraza-Ortega, José Emilio Vargas-Soto

“…This article summarizes the usage of convolutional neural networks (CNNs) to forecast PM10 concentrations based on atmospheric variables. …”
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Grasp Area Detection for 3D Object using Enhanced Dynamic Graph Convolutional Neural Network by Haniye Merrikhi, Hossein Ebrahimnezhad

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Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network by Seiya Tsuda, Yuji Iwahori, M. K. Bhuyan, Robert J. Woodham, Kunio Kasugai

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Modeling the Dynamic Global Distribution of the Ring Current Oxygen Ions Using Artificial Neural Network Technique by Qiushuo Wang, Chao Yue, Jinxing Li, Jacob Bortnik, Donglai Ma, Chae‐Woo Jun

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Convolution neural network algorithm-based fouling organisms classification model of seawater circulation cooling system by ZHANG Yi

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Retracted: Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by null Complexity

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OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY by SYLVESTER UWADIAE, FAITH OVIESU, BAMIDELE AYODELE

“… The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. …”
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Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network by Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li

“…Based on the idea of spatio-temporal data fusion, fully considering the correlation of traffic flow data in the time dimension and the dependence of spatial structure, this paper proposes a new spatio-temporal traffic flow prediction model based on Graph Neural Network (GNN), which is called Bidirectional-Graph Recurrent Convolutional Network (Bi-GRCN). …”
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Reconstruction of Sea Surface Chlorophyll-a Concentration in the Bohai and Yellow Seas Using LSTM Neural Network by Qing Xu, Guiying Yang, Xiaobin Yin, Tong Sun

“…In order to improve the spatiotemporal coverage of satellite Chlorophyll-a (Chl-a) concentration products in marginal seas, a physically constrained deep learning model was established in this work to reconstruct sea surface Chl-a concentration in the Bohai and Yellow Seas using a Long Short-Term Memory (LSTM) neural network. Adopting the permutation feature importance method, time sequences of several geographical and physical variables, including longitude, latitude, time, sea surface temperature, salinity, sea level anomaly, wind field, etc., were selected and integrated to the reconstruction model as input parameters. …”
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Research of Wavelet Neural Network State Degradation Prediction of Rolling Bearing New Time Domain Index by Li Wenfeng, Xu Aiqiang, Sun Jijie, Fan Fuqin

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Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection by Minghui Wei, Jingjing Tang, Haotian Tang, Rui Zhao, Xiaohui Gai, Renying Lin

“…It aims to improve the degree of visualization of building data, ensure the ability of intelligent detection, and effectively solve the problems encountered in building data processing. Convolutional neural network and augmented reality technology are adopted, and a building visualization model based on convolutional neural network and augmented reality is proposed. …”
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