Results 21 to 30 of about 66,774 (311)

Improved adaptive genetic algorithm for the vehicle insurance fraud identification model based on a BP neural network [PDF]

, 2020
With the development of the insurance industry, insurance fraud is increasing rapidly. The existence of insurance fraud considerably hinders the development of the insurance industry.
Yan, C., Liu, W., Qi, M., Li, M.
core   +1 more source

A novel Fireworks Factor and Improved Elite Strategy based on Back Propagation Neural Networks for state-of-charge estimation of lithium-ion batteries

International Journal of Electrochemical Science, 2021
The state of charge (SOC) of Lithium-ion battery is one of the key parameters of the battery management system. In the SOC estimation algorithm, the Back Propagation (BP) neural network algorithm is easy to converge to the local optimal solution, which ...
Xianpei Chen, Shunli Wang, Yanxing Xie, Carlos Fernandez, Yongcun Fan   +4 more
doaj   +1 more source

Prediction of coal seam water conduction fault zone height based on LC-SSA-BP neural network model

Meikuang Anquan, 2023
Aiming at the problems of low prediction accuracy for the height of water-conducting fracture zone and difficult parameters optimization, we propose a guide height prediction method based on improved sparrow search algorithm SSA optimized BP （LC-SSA-BP ...
ZHAO Dekang, HAN Bing, FENG Guorui, SHI Jiabo, REN Henghui, WANG Pengwei, REN Peiyuan
doaj   +1 more source

Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network

Shock and Vibration, 2022
Combined with wavelet threshold denoising and Ensemble Empirical Mode Decomposition (EEMD) decomposition, an identification method based on Manta Ray Foraging Optimization-BP (MRFO-BP) neural network for vibration signals of residual pressure utilization
Qingjiao Cao, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu   +4 more
doaj   +1 more source

Short-Term Power Prediction of Wind Power Generation System Based on Logistic Chaos Atom Search Optimization BP Neural Network

International Transactions on Electrical Energy Systems, 2023
Wind power generation is the major approach to wind energy utilization. However, due to the volatility, intermittent, and controllability of wind power, it is difficult to control and scheduling of wind power, which brings challenges to the grid ...
Yihan Zhang, Peng Li, Huixuan Li, Wenjing Zu, Hongkai Zhang   +4 more
doaj   +1 more source

Urban cold-chain logistics demand predicting model based on improved neural network model

International Journal of Metrology and Quality Engineering, 2020
With the popularity of the Internet and mobile terminals, the development of e-commerce has become hotter. Therefore, e-commerce research starts to focus on the statistics and prediction of the cargo volume of logistics. This study briefly introduced the
Chen Ying, Wu Qiuming, Shao Lijin
doaj   +1 more source

Initial Results of Modeling and Improvement of BDS-2/GPS Broadcast Ephemeris Satellite Orbit Based on BP and PSO-BP Neural Networks

Remote Sensing, 2021
With the rapid development and gradual perfection of GNSS in recent years, improving the real-time service performance of GNSS has become a research hotspot. In GNSS single-point positioning, broadcast ephemeris is used to provide a space–time reference.
Hanlin Chen, Fei Niu, Xing Su, Tao Geng, Zhimin Liu, Qiang Li   +5 more
doaj   +1 more source

BP neural network model diagram.

, 2022
BP neural network model diagram.
Guohua Feng (12867312), Jing Zhang (23775), Zhenhua Zhao (739747)   +2 more
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A Simulate Prediction and Analysis of Jilin Province Rural Tourism Development Based on BP Neural Network

Chemical Engineering Transactions, 2015
The BP neural network is the most mature and widely used artificial neural network model. It has the simple structure, strong operability and good self learning ability. This paper first introduce the neural network in general.
L. Li
doaj   +1 more source

Bp neural network code

, 2022
Through bp neural network training and testing sensor response voltage data and gas concentration value, the linear relationship between voltage and concentration is obtained.
yeping shi (14045352)
core   +1 more source