Results 31 to 40 of about 5,507,494 (254)
Underground adaptive positioning algorithm based on SAPSO-BP neural network
Gong-kuang zidonghua, 2019 In view of problems of slow convergence, easy to form local extremum and large positioning error in strong time-varying electromagnetic environment of underground positioning algorithms based on traditional BP neural network, an underground adaptive ...
MO Shupei +3 more
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Prediction of gas emission based on PCA-SAPSO-BP neural network
Meikuang Anquan, 2023 To improve the efficiency and accuracy of gas emission prediction in coal mine, in view of the multiple correlation and complexity of the influencing factors of gas emission, the principal component analysis method is proposed to reduce the dimension of
LIU Feng
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BP neural network model diagram.
, 2022 BP neural network model diagram.
Guohua Feng (12867312) +2 more
core +1 more source
, 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)
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Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network [PDF]
E3S Web of Conferences, 2019 BP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services.
Sun Hongyan +7 more
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Corporate fraud detection based on improved BP neural network [PDF]
Corporate fraud risk detection is a branch of fraud. It may exist in various industries and cause economic problems. Effective identification of cor porate fraud can protect the safety of funds for investors in some sense.
Liu, M, +4 more
core +1 more source
Jixie qiangdu, 2020 In order to solve the problem that temperature drift of silicon piezoresistive pressure sensor affects the accuracy of engineering measurement,proposed a temperature compensation strategy for BP neural network based on glowworm swarm optimization.
WANG Hui, FU Peng, SONG YuNing
doaj
, 2015 This paper presents a neural network method to locate common fault exactly in a distribution power system (DPS) with renewable sources. The back propagation (BP) neural network method is applied to identify patterns of voltage and current measured from ...
Li XH(李先宏) +10 more
core +1 more source
Energy Reports, 2022 In order to solve the problems of incomplete factors and inaccurate prediction in the current evaluation model of power transmission and transformation project, this paper uses the BP neural network algorithm optimized by simulated annealing genetic ...
Fei Chen +4 more
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Gong-kuang zidonghua, 2016 Structure and working principle of anti-jamming valve on a drilling rig was analyzed, and BP neural network model of anti-jamming valve was established using original data of a quarry.
MA Wei, MA Fei, GUO Rong, GENG Xiaoguang
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