Application of BP Neural Network Model in Risk Evaluation of Railway Construction by Yang Changwei, Li Zonghao, Guo Xueyan, Yu Wenying, Jin Jing, Zhu Liang

“…Chinese railway construction project is an important part of the implementation of the “Belt and Road” strategy, and the risk evaluation of overseas railway construction is the primary link of the project. …”
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Retracted: Application of BP Neural Network Model in Risk Evaluation of Railway Construction by null Complexity

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Evaluation of China's maritime power construction index and policy textual analysis by Kuncheng Zhang, Shi-Zheng Tian, Yong Wu, Jiale Wu, Na Liu, Donghai Wang

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ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things by Jing Nan, Wei Dai, Chau Yuen, Jinliang Ding

“…Taking advantage of the lightweight constructive neural network (LightGCNet) in developing fast learner models for IIoT, a convex geometric constructive neural network with a low-complexity control strategy, namely, ConGCNet, is proposed in this article via convex optimization and matrix theory, which enhances the convergence rate and reduces the computational consumption in comparison with LightGCNet. …”
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Mathematical Model Construction of Teaching Evaluation in Colleges and Universities Based on Convolutional Neural Network under the Background of Big Data by Changming Tan

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Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. by Jia Wen, Pinhong Zeng

“…<h4>Conclusion</h4>The research successfully constructs a T-S fuzzy neural network-based evaluation model for assessing the sustainable scientific research capabilities of university teachers. …”
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Retracted: Mathematical Model Construction of Teaching Evaluation in Colleges and Universities Based on Convolutional Neural Network under the Background of Big Data by Journal of Function Spaces

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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Using construction and demolition (C&D) waste in concrete production is a promising step toward environmental resilience amid the construction industry’s ecological footprint. …”
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Dynamic control method of construction cost based on fuzzy neural network by Qiao hui Liu, Qian Cao

“…For improving the dynamic management performance of construction cost, the dynamic control model of cost of construction based on fuzzy neural network is studied. …”
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Distributed Gaussian Granular Neural Networks Ensemble for Prediction Intervals Construction by Chunyang Sheng, Haixia Wang, Xiao Lu, Zhiguo Zhang, Wei Cui, Yuxia Li

“…The weighted coefficient is estimated by evaluating the performance of the constructed PIs from each local network. …”
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Cost Index Predictions for Construction Engineering Based on LSTM Neural Networks by Jiacheng Dong, Yuan Chen, Gang Guan

“…In recent years, the cost index predictions of construction engineering projects are becoming important research topics in the field of construction management. …”
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Knowledge Graph Construction: Extraction, Learning, and Evaluation by Seungmin Choi, Yuchul Jung

“…Consequently, new approaches have emerged in each phase of KG development, including Extraction, Learning Paradigm, and Evaluation Methodology. In this paper, we focus on major publications released after 2022 to systematically examine the process of KG construction along three core dimensions: Extraction, Learning Paradigm, and Evaluation Methodology. …”
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Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs. by Andrew McDonald, Anurag Agarwal, Ben Williams, Nai-Chieh Liu, Jane Ladlow

“…The model is developed using a novel dataset of 665 labelled recordings taken from 341 dogs with diverse BOAS clinical signs. Evaluated via nested cross validation, the neural network predicts the presence of clinically significant BOAS with an area under the receiving operating characteristic of 0.85, an operating sensitivity of 71% and a specificity of 86%. …”
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Physics-Informed Neural Networks for Structural Mechanics and Construction: Modeling the Deflection of a Single-Span Beam Physics-Informed Neural Networks by F. N. Zakharov, Qian Jie, Xu Yi

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Coupling of green building construction based on particle Swarm optimizing neural network algorithm by Wang Leigang, Li Shaohua, Wang Liang, Zhang Zheng, Zhou Yuchen, Chang Long

“…Therefore, this study proposes a coupling analysis method for green building construction based on particle swarm optimisation neural network. …”
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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…In this paper, RNN (Recurrent Neural Network) algorithm is used to conduct an in-depth analysis of HR strategic decision-making and an HR strategic decision model is constructed for simulation. …”
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Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms by Ruba Awad, Cenk Budayan, Asli Pelin Gurgun

“…To address this gap, this study aims to predict C&DW quantities in construction projects more accurately by integrating the gray wolf optimization algorithm (GWO) and the Archimedes optimization algorithm (AOA) into an artificial neural network (ANN). …”
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Constructing a prediction model for acute pancreatitis severity based on liquid neural network by Jie Cao, Shike Long, Huan Liu, Fu’an Chen, Shiwei Liang, Haicheng Fang, Ying Liu

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Prototyping neural networks to evaluate the risk of adverse cardiovascular outcomes in the population by L. A. Bogdanov, E. A. Komossky, V. V. Voronkova, D. E. Tolstosheev, G. V. Martsenyuk, A. S. Agienko, E. V. Indukaeva, A. G. Kutikhin, D. P. Tsygankova

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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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