Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network by Kazuhiko Hiramoto, Taichi Matsuoka, Katsuaki Sunakoda

“…We propose an adaptive gain scheduled semiactive control method using an artificial neural network for structural systems subject to earthquake disturbance. …”
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New Results on Stability of Delayed Cohen–Grossberg Neural Networks of Neutral Type by Ozlem Faydasicok

“…This research work conducts an investigation of the stability issues of neutral-type Cohen–Grossberg neural network models possessing discrete time delays in states and discrete neutral delays in time derivatives of neuron states. …”
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Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…In this study, MODFLOW numerical code in GMS software, artificial neural network (ANN) and neural – fuzzy (CANFIS) method in NeuroSolution software, wavelet-neural method in MATLAB software and geostatistical method in ArcGIS software were used. …”
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On the Prediction of Product Aesthetic Evaluation Based on Hesitant-Fuzzy Cognition and Neural Network by Xinying Wu, Minggang Yang, Zishun Su, Xinxin Zhang

“…By measuring the cognitive complexity of the product, this research establishes the relationship between the complexity and aesthetics of the product using an artificial neural network. Hence the prediction of product beauty is achieved, which guides design decisions. …”
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GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks by Irene Palazzoli, Serena Ceola, Pierre Gentine

“…In this study, we develop GRAiCE, a set of four global monthly TWSA reconstructions from 1984 to 2021 at 0.5° spatial resolution, using Long Short-Term Memory (LSTM) and Bidirectional LSTM (BiLSTM) neural networks. Our models accurately reproduce GRACE/GRACE-FO observations at the global scale and effectively capture the impacts of climate extremes. …”
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Caloric labels do not influence taste pleasantness and neural responses to erythritol and sucrose by Aleksandra Budzinska, Laura Byl, Fabienne Teysseire, Emilie Flad, Patrick Dupont, Bettina Wölnerhanssen, Anne Christin Meyer-Gerspach, Lukas Van Oudenhove, Nathalie Weltens

“…There were no differences in neural responses between the sweeteners and labels, except in comparisons with water.…”
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Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network by Xiaoxuan Wang, Jingjing Wang, Ying Zhang, Yixing Du

“…Therefore, this paper proposes to use a self-organizing competitive neural network to select early warning indicators. …”
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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

“…However, analysis of vibration signals using artificial neural network (ANN) is mostly via development of classification models, which cannot be suitably applied to several varied machine types and specifications. …”
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Forecast of Chemical Export Trade Based on PSO-BP Neural Network Model by Na Li, Meng Li

“…Although the traditional linear prediction method has the advantages of intuitiveness, simplicity, and strong interpretability, it is difficult to deal with the prediction problem of dynamic and complex nonlinear systems. The neural network is a nonlinear dynamic system, with strong nonlinear mapping ability, strong robustness, and fault tolerance. …”
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Sirtuin-2 Protects Neural Cells from Oxidative Stress and Is Elevated in Neurodegeneration by Preeti Singh, Peter S. Hanson, Christopher M. Morris

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Local Ecological Knowledge and Biological Conservation: Post-normal Science as an Intercultural Field by Jorje Ignacio Zalles

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Geosmithia Species in Florida: Common Fungal Symbionts of Wood-Boring Bark Beetles by Yin-Tse Huang, Jiri Hulcr

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Retracted: Risk Prediction of Sports Events Based on Gray Neural Network Model by null Complexity

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The Application of Speech Synthesis Technology Based on Deep Neural Network in Intelligent Broadcasting by Jihong Yang

“…To improve the sound quality of speech synthesis technology in intelligent broadcasting, a deep neural network-based method is proposed. It also proved the effectiveness of the DNN discrimination s/u/v and completed the conversion of the HMM synthesis spectrum parameter to original speech. …”
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Recurrent neural networks with transient trajectory explain working memory encoding mechanisms by Chenghao Liu, Shuncheng Jia, Hongxing Liu, Xuanle Zhao, Chengyu T. Li, Bo Xu, Tielin Zhang

“…Even though many recurrent neural networks (RNNs) have been proposed to simulate WM, most networks are designed to match respective experimental observations and show either transient or persistent activities. …”
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Novel Fuzzy Neural Nonsingular Terminal Sliding Mode Control of MEMS Gyroscope by Zhe Wang, Juntao Fei

“…This paper attempts to improve the robustness and rapidity of a microgyroscope sensor by presenting a double-loop recurrent fuzzy neural network based on a nonsingular terminal sliding mode controller. …”
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Evaluating Normalization Methods for Robust Spectral Performance Assessments of Hyperspectral Imaging Cameras by Siavash Mazdeyasna, Mohammed Shahriar Arefin, Andrew Fales, Silas J. Leavesley, T. Joshua Pfefer, Quanzeng Wang

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Polyunsaturated Fatty Acid Dietary Supplementation Induces Lipid Peroxidation in Normal Dogs by John M. Walters, Timothy B. Hackett, Gregory K. Ogilvie, Martin J. Fettman

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Neural Determinants of Sedentary Lifestyle in Older Adults: A Brain Network Analysis by Mohsen Bahrami, Jonathan H Burdette, Paul J Laurienti, Barbara J Nicklas, W Jack Rejeski, Jason Fanning

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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network by Wenguang Yu, Guofeng Guan, Jingchao Li, Qi Wang, Xiaohan Xie, Yu Zhang, Yujuan Huang, Xinliang Yu, Chaoran Cui

“…The BP neural network model is a hot issue in recent academic research, and it has been successfully applied to many other fields, but few researchers apply the BP neural network model to the field of automobile insurance. …”
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