Credit risk identification of high-risk online lending enterprises based on neural network model by Mao-guang WANG, Zi-jun ZHU

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Deep Learning Based Dual Channel Banana Grading System Using Convolution Neural Network by Raghavendra S, Souvik Ganguli, P. Thirumarai Selvan, Mitali Madhusmita Nayak, Sushovan Chaudhury, Randell U. Espina, Isaac Ofori

“…The invention of convolutional neural network (CNN) simplified the effort of feature engineering. …”
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Automatic Analysis Algorithm of Position and Orientation Characteristic Set of Parallel Mechanism based on Neural Network by Wang Gang, Mao Zhiwei, Luo Yufeng, Shi Zhixin

“…Based on the theory of the position and orientation characteristic set（ POC）,the theoretical connotation of topology analysis of the parallel mechanism is revealed,a description method of parallel mechanism topology based on neural network is built,an automatic analysis algorithm of parallel mechanism topology mechanism based on neural network is presented. …”
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Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model by Ruiguo Liu, Xuehui Gao

“…A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. …”
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Fault Identification of Low-Speed Hub Bearing of Crane Based on MBMD and BP Neural Network by Li-Hong Guo, Lai-Ming Yang, Yan-Feng Peng, Yong Guo

“…Finally, the marked features are input into BP neural network for training and testing to identify the types of bearing fault. …”
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Quantum-limited stochastic optical neural networks operating at a few quanta per activation by Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

“…Abstract Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved energy efficiency compared to digital electronic neural networks. …”
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A fast VVC intra-coding algorithm based on graph neural network and statistical analysis by LI Tiansong, LIU Haokun, CUI Shaoguo, LIU Shucen, CHEN Yan, WANG Hongkui

“…An efficient graph neural network model was used to directly predict the optimal partition mode of CU, thus skipping redundant CU partition traversal. …”
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Vibe++ background segmentation method combining MeanShift clustering analysis and convolutional neural network by Zihao LIU, Xiaojun JIA, Sulan ZHANG, Zhiling XU, Jun ZHANG

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Retracted: Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Journal of Mathematics

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SiC MOSFET with Integrated SBD Device Performance Prediction Method Based on Neural Network by Xiping Niu, Ling Sang, Xiaoling Duan, Shijie Gu, Peng Zhao, Tao Zhu, Kaixuan Xu, Yawei He, Zheyang Li, Jincheng Zhang, Rui Jin

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Vehicle Detection Based on Multifeature Extraction and Recognition Adopting RBF Neural Network on ADAS System by Xuewen Chen, Huaqing Chen, Huan Xu

“…Based on the positive and negative sample base of vehicles, the neural network recognizer is trained and learned, which can quickly realize network convergence. …”
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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian

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Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics by Stefan Schoder

“…The generalization of Physics-Informed Neural Networks (PINNs) used to solve the inhomogeneous Helmholtz equation in a simplified three-dimensional room is investigated. …”
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RETRACTED: Application of artificial neural networks in predicting frequencies of cantilever beam when stiffness reduction by Nguyen Xuan Bang

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A system of analysis and prediction of the loss of forging tool material applying artificial neural networks by Hawryluk M., Mrzyglod B.

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On an Impulsive Conformable M1 Oncolytic Virotherapy Neural Network Model: Stability of Sets Analysis by Gani Stamov, Ivanka Stamova, Cvetelina Spirova

“…In this paper, the impulsive conformable calculus approach is applied to the introduction of an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mn>1</mn></mrow></semantics></math></inline-formula> oncolytic virotherapy neural network model. The proposed model extends some existing mathematical models that describe the dynamics of the concentrations of normal cells, tumor cells, nutrients, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mn>1</mn></mrow></semantics></math></inline-formula> viruses and cytotoxic T lymphocyte (CTL) cells to the impulsive conformable setting. …”
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Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods by Betül Mete, Sinan Nacar, Adem Bayram, Osman Tuğrul Bak

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Uniform Physics Informed Neural Network Framework for Microgrid and Its Application in Voltage Stability Analysis by Renhai Feng, Khan Wajid, Muhammad Faheem, Jiang Wang, Fazal E. Subhan, Muhammad Shoaib Bhutta

Subjects: “…Physics informed neural network…”
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A Fault Diagnosis Method and Experimental Verification of Automobile Gearbox based on BP Neural Network by Yang Jiayin

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Application research of convolutional neural network and its optimization in lightning electric field waveform recognition by Caixia Wang, Xiaoyi Zhang, Hui Yang, Jinyuan Guo, Jia Xu, Zhuling Sun

“…In this paper, based on the electric field observation of the Beijing lightning location website of the Institute of Atmospheric Physics, Chinese Academy of Sciences, a recognition and classification method of pulse signal waveform based on Convolutional Neural Network(CNN) algorithm is designed and implemented. …”
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