Analysis of Marketing Prediction Model Based on Genetic Neural Network: Taking Clothing Marketing as an Example by Hua Peng, Luxiao Dong, Yi Sun, Yanfang Jiang

“…With the development of genetic neural network technology, this technology has been more and more widely used in signal processing, pattern recognition and other application fields. …”
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A convolutional neural network model and algorithm driven prototype for sustainable tilling and fertilizer optimization by Sajeev Magesh

“…This paper evaluates whether optimizing tillage intensity, timing, and fertilizer quantity using a convolutional neural network model and algorithm will address these problems. …”
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Neural Network-Based Parameter Estimation and Compensation Control for Time-Delay Servo System of Aeroengine by Hongyi Chen, Qiuhong Li, Zhifeng Ye, Shuwei Pang

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Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

“…The proposed work consists of three phases: (i) Feature Augmented Convolutional Neural Network (FA-CNN) (ii) Deep Autoencoder (iii) Ensemble of FA-CNN and Deep Autoencoder. …”
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

“…We integrate a back propagation neural network with the technique of look-up-table in LS to guarantee the monotonicity and boundedness of the predicted placement positions. …”
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A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network by Lei Si, Xin-hua Liu, Chao Tan, Zhong-bin Wang

“…Classification is an important theme in data mining. Rough sets and neural networks are the most common techniques applied in data mining problems. …”
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The Response of Ionospheric Currents to External Drivers Investigated Using a Neural Network‐Based Model by Xin Cao, Xiangning Chu, Jacob Bortnik, James M. Weygand, Jinxing Li, Homayon Aryan, Donglai Ma

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Retracted: The Construction of Smart Chinese Medicine Cloud Health Platform Based on Deep Neural Networks by International Transactions on Electrical Energy Systems

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Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network by Fang Liu, Hua Gong, Ligang Cai, Ke Xu

“…A new improved algorithm based on three-stage ant colony optimization (IACO) and BP neural network algorithm is proposed to predict ammunition failure numbers. …”
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Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network by Xiaochen Zhang, Hongli Gao, Haifeng Huang

“…To evaluate the performance of ball screw, screw performance degradation assessment technology based on quantum genetic algorithm (QGA) and dynamic fuzzy neural network (DFNN) is studied. The ball screw of the CINCINNATIV5-3000 machining center is treated as the study object. …”
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Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net by Soumi Ray, Tim Oates

“…We claim that theoretical entities, or hidden variables, are important for the development of concepts within the lifetime of an individual and present a novel neural network architecture that solves three problems related to theoretical entities: (1) discovering that they exist, (2) determining their number, and (3) computing their values. …”
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Vibration Reliability Analysis of Drum Brake Using the Artificial Neural Network and Important Sampling Method by Zhou Yang, Unsong Pak, Cholu Kwon

“…Two types of ANNs used in this study are the radial basis function neural network (RBF) and back propagation neural network (BP). …”
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Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

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A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network by Goutam Chakraborty, Vadim Azhmyakov, Luz Adriana Guzman Trujillo

“…This paper is devoted to a novel formal analysis, optimizing the learning models for feedforward multilayer neural networks with hybrid structures. The proposed mathematical description replicates a specific switched-type optimal control problem (OCP). …”
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FAULT DIAGNOSIS OF SPIRAL BEVEL GEAR BASED ON LOCAL BISPECTRUM AND CONVOLUTIONAL NEURAL NETWORK (MT) by YANG DaLian, LEI JiaLe, JIANG LingLi

“…Comparing with traditional diagnosis results that use bispectrum and CNN, vibration signal and CNN, local bispectrum and SVM（Support Vector Machine）, local bispectrum and BP（Back Propagation） neural network, the proposed method has an optimal comprehensive performance which has an accuracy of 99.56% and model training time of 15 seconds.…”
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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…An attempt is also made to meet the industrial requirements of developing the reverse model to predict the recommended squeeze cast parameters for the desired density and SDAS. Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN) and genetic algorithm neural network (GA-NN). …”
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease by David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson

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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

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Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons by Chengjun Duan, Qiankun Song

“…The discrete-time delayed neural network with complex-valued linear threshold neurons is considered. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…Face anti-spoofing (FAS) is significant for the security of face recognition systems. neural networks (NNs), including convolutional neural network (CNN) and vision transformer (ViT), have been dominating the field of the FAS. …”
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