Results 31 to 40 of about 66,774 (311)
Network traffic prediction of the optimized BP neural network based on Glowworm Swarm Algorithm
Systems Science & Control Engineering, 2019 In order to improve the neural network structure and parameters set methods, on the basis of Glowworm Swarm Algorithm and the BP neural network, a Glowworm Swarm Algorithm to optimize the BP neural network algorithm is proposed.
Haitao Li
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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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IEEE Access, 2020 The Back Propagation (BP) neural network has the problems of low accuracy and poor convergence in the process of binocular camera calibration. A method based on BP neural network optimized by improved genetic simulated annealing algorithm (IGSAA-BP) is ...
Long Chen, Fengfeng Zhang, Lining Sun
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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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Study on factor-state artificial neural network model for water quality prediction
浙江大学学报. 农业与生命科学版, 2000 Research on factor neural network theory led to factor-state BP artificial neural network. Combination of informative diffusion with falling shadow technique forms information diffusion falling shadow technique together with factor BP artificial neural ...
GUO Zong-lou, SHEN Wei
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Dimensionless parameters-BP neural network model structure.
, 2021 Dimensionless parameters-BP neural network model structure.
Yuye Luo (11378300) +2 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
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Prediction error analysis of BP neural network.
, 2022 Prediction error analysis of BP neural network.
Zhaoxin Liu (3798190) +3 more
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, 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
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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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