Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete by Hanlie Cheng, Shiela Kitchen, Graciela Daniels

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Seismic Design Value Evaluation Based on Checking Records and Site Geological Conditions Using Artificial Neural Networks by Tienfuan Kerh, Yutang Lin, Rob Saunders

“…This study further develops a new weight-based neural network model for estimating peak ground acceleration at unchecked sites. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

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The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…In this paper, a nonlinear model based on coordinates and buried depth of piles was established by the BP neural network to predict the samples to be evaluated, the consequence of which indicated that the BP neural network was easily trapped in local extreme value, and the error reached 31%. …”
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One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling by K. P. Moustris, P. T. Nastos, A. G. Paliatsos

“…For this purpose, artificial neural networks (ANNs) modelling techniques are applied in order to predict the maximum and the minimum value of the physiologically equivalent temperature (PET) one day ahead as well as the persistence of the hours with extreme human biometeorological conditions. …”
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Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems by M. A. Hussain, Jarinah Mohd Ali, M. J. H. Khan

“…This paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. …”
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Corrigendum to “Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network” by Junfang Li, Minfeng Yao, Qian Fu

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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

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Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles by Jianhua Zhang, Yang Li, Wenbo Fei

“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
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YAPAY SİNİR AĞLARI İLE BORSA ENDEKSİ TAHMİNİ - FORECASTING STOCK MARKET INDEX WITH ARTIFICIAL NEURAL NETWORKS by Aygülen Kayahan Karakul

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Construction of a neural network model for small-scale shaded relief maps constrained by topographic feature lines by Yue Wang, Wenping Jiang, Han Jiang, Danfeng Dai, Peiyang Ma, Yuan Wang, Zhizhi Wang

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Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices by Xiongfei Zou, Ying Tang, Shirong Bu, Zhengxiang Luo, Shouming Zhong

“…This paper introduces a novel neural-network-based approach for extracting some eigenpairs of real normal matrices of order n. …”
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Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction by Yu-Tzu Chang, Jinn Lin, Jiann-Shing Shieh, Maysam F. Abbod

“…This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs) by using genetic algorithms (GA). …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

“…In this study, we developed a model re-sample Recurrent Neural Network (RRNN) to forecast passenger traffic on Mass Rapid Transit Systems (MRT). …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

Subjects: “…convolutional neural network…”
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Neural Network and Performance Analysis for a Novel Reconfigurable Parallel Manipulator Based on the Spatial Multiloop Overconstrained Mechanism by Guanyu Huang, Dan Zhang, Qi Zou

“…To focus on the application in the industrial area, this paper proposes a method to establish the relationship between the performance and the structural parameters by using the modified BP neural network. Based on this method, the structural parameters can be chosen by the requirements of the special task in the industrial area. …”
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NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification by Jaipriya D., Sriharipriya K. C.

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Investigations on tool wear behavior in turning AISI 304 stainless steel: An empirical and neural network modeling approach by Satish Chinchanikar, Mahendra Gadge

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Dual modality feature fused neural network integrating binding site information for drug target affinity prediction by Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen

“…This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. …”
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