Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…This text proposes the incorporation of a three-stage evolutionary technique, which has roots in the differential evolution technique, for the effective training of the parameters of artificial neural networks and the avoidance of the problem of overfitting. …”
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Research on safety risk assessment model of construction engineering based on attention mechanism and graph neural network by Lanfei He, Ran Chen, Jia Hu, Zhenxi Huang, Li Zhou, Hong Zhang

“…The comprehensive evaluation of multi-dimensional and multi-level risks of construction projects is realized by constructing an evaluation model that combines attention mechanism and graph neural network. …”
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The evaluation of course teaching effect based on improved RBF neural network by Hanmei Wu, Xiaoqing Cai, Man Feng

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Evaluation of Seismicity Induced by Geothermal Development Based on Artificial Neural Network by Kun Shan, Yanhao Zheng, Wanqiang Cheng, Zhigang Shan, Yanjun Zhang

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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…Instead of exploring the search tree in order to look several moves ahead, we propose to use the much faster and less computationally demanding estimations of a properly trained neural network. Such an approach offers the benefit of having an estimation for the position evaluation in a matter of milliseconds, while the time needed by a chess engine may be several orders of magnitude longer. …”
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Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction by Tien Ngo, Jiao Yin, Yong-Feng Ge, Hua Wang

“…We employ GraphSAGE as the Graph Neural Network (GNN) model to effectively capture node representations while maintaining scalability. …”
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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems by Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun, Md Al‐Amin Bhuiyan

“…The suggested model uses a “long short‐term memory” decoder for word prediction and sentence construction, and a “convolutional neural network” as an encoder that is skilled at object recognition and spatial information retention. …”
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Batch evaluation of collective owned commercialised construction land using machine learning by Wenzhu Zhang, Licheng Huang, Shengquan Lu, Shiyu Deng, Bin Wu, Yanfei Wei

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Benefit Evaluation of Preventive Maintenance of Highway Bridges Based on Fuzzy Neural Network by Yiquan Zou, Jialin Fang, Zedong Liu

“…The comprehensive evaluation vector is used as the training data of the neural network to construct a preventive maintenance benefit evaluation model of concrete bridges based on a fuzzy neural network, and use the model to evaluate the maintenance benefit of specific construction cases. …”
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Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model by Gang Li, Jinlong Cheng

“…This paper systematically reviews the development history of China’s ethnic tourism resource evaluation, analyzes the three different stages of tourism resource evaluation changes and their basic characteristics, and conducts research on tourism resource evaluation based on artificial intelligence neural network model to avoid the influence of subjective factors on the evaluation results to the greatest extent. …”
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Evaluation of Artificial Neural Network Model for Predicting Nitrogen Oxides (NOₓ) Concentration by Muhammad Farrih Mahabbataka Arsyada, Raras Tyasnurita

“…One of the methods used for predicting air pollution data, such as NOₓ, is artificial neural networks (ANN). In this study, four ANN models were constructed and evaluated: Feed Forward Neural Network (FNN), Time Lagged Neural Network (TLNN), Seasonal Artificial Neural Network (SANN), and Long Short-Term Memory (LSTM). …”
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Landslide Susceptibility Evaluation Based on the Combination of Environmental Similarity and BP Neural Networks by Ruiting Wang, Wenfei Xi, Guangcai Huang, Zhiquan Yang, Kunwu Yang, Yongzai Zhuang, Ruihan Cao, Dingjie Zhou, Yijie Ma

“…To address the challenge of limited landslide samples in complex mountainous areas, this study proposes a novel landslide susceptibility evaluation method integrating environmental similarity theory with a backpropagation neural network (Environmental Similarity Model–BP Neural Network, ESM-BP). …”
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Complex Spiking Neural Network Evaluated by Injury Resistance Under Stochastic Attacks by Lei Guo, Chongming Li, Huan Liu, Yihua Song

“…Human brains have self-adaptive abilities under injury, so drawing on the advantages of the human brain to construct a brain-inspired model is intended to enhance its injury resistance. …”
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ANN prediction model of final construction cost at an early stage by Khalid S. Al-Gahtani, Abdullah M. Alsugair, Naif M. Alsanabani, Abdulmajeed A. Alabduljabbar, Abdulmohsen S. Almohsen

“…Previous studies developed models to predict final construction cost (FCC) values based on many inputs, which makes them difficult to use. …”
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Construction of an Artificial Intelligence Model and Application for an Automatic Recognition of Traditional Chinese Medicine Herbals Based on Convolutional Neural Networks by WANG Ganhong, ZHANG Zihao, XI Meijuan, XIA Kaijian, ZHOU Yanting, CHEN Jian

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A radial basis function artificial neural network model for water quality evaluation by GUO Zong-lou

“…A model for water quality evaluation is constructed by using a radial basis function artificial neural network (RBF-ANN), and trained by using a least squares estimation algorithm. …”
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Deep Learning BP Neural Network Guided Evaluation of Students’ Innovation and Entrepreneurship Education by Jingyi Yi, Xiao Cui

“…Taking the development of computer specialty as the main research objective, this paper firstly establishes the evaluation index system of computer specialty for the first time, then makes a scientific evaluation of computer specialty by using BP neural net model and then carries out an empirical study of innovative employment mode through the evaluation index system and makes an empirical quantitative analysis. …”
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A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements by Aliki D. Mouratidou, Georgios E. Stavroulakis

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Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network by Shunfeng Zhang, Peiqing Li, Biqiang Zhong, Jin Wu

“…This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-scale rail-transit planning and construction in Hangzhou. …”
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Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks by Al-Gburi Majid, Almssad Asaad, Al-Zuhairi Osamah Ibrahim

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