Graph-Based Feature Crossing to Enhance Recommender Systems by Congyu Cai, Hong Chen, Yunxuan Liu, Daoquan Chen, Xiuze Zhou, Yuanguo Lin

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Modeling of Hyperparameter Tuned Fuzzy Deep Neural Network–Based Human Activity Recognition for Disabled People by Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Fahd N. Al-Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza

“…This article develops a hyperparameter tuned fuzzy deep neural network–based HAR (HTFDNN-HAR) method. The objective of the HTFDNN-HAR method lies in human activities identification and classification. …”
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Stability Analysis of Fractional-Order Bidirectional Associative Memory Neural Networks with Mixed Time-Varying Delays by Zhanying Yang, Jie Zhang

“…This paper studies the stability analysis of fractional-order bidirectional associative memory neural networks with mixed time-varying delays. The orders of these systems lie in the interval 1,2. …”
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Retracted: Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Journal of Electrical and Computer Engineering

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

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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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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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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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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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Prediction Study on PCI Failure of Reactor Fuel Based on a Radial Basis Function Neural Network by Xinyu Wei, Jiashuang Wan, Fuyu Zhao

“…The prediction of fuel rod failure by PCI is studied in this paper by the method of radial basis function neural network (RBFNN). The neural network is built through the analysis of the existing experimental data. …”
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An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network by Zhijian Huang, Bowen Sui, Jiayi Wen, Guohe Jiang

“…Thus, this paper makes a self-built dataset for the ship image/video detection and classification, and its method based on an improved regressive deep convolutional neural network is presented. This method promotes the regressive convolutional neural network from four aspects. …”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers’ control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. …”
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A Memristive Hyperjerk Chaotic System: Amplitude Control, FPGA Design, and Prediction with Artificial Neural Network by Ran Wang, Chunbiao Li, Serdar Çiçek, Karthikeyan Rajagopal, Xin Zhang

“…Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.…”
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Estimation of zooplankton density with artificial neural networks (a new statistical approach) method, Elazığ-Türkiye by Bulut Hilal

Subjects: “…artificial neural network…”
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