Results 11 to 20 of about 66,774 (311)
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
Meikuang Anquan, 2022 For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
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Effect analysis of coal seam water infusion based on genetic algorithm-BP neural network
Gong-kuang zidonghua, 2016 In order to improve prediction accuracy of coal seam water infusion effect by using BP neural network, genetic algorithm was used to optimize weight value and threshold value of BP neural network.
LIU Jinwei, XIE Xionggang, FANG Jing
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Face recognition based on improved BP neural network [PDF]
MATEC Web of Conferences, 2017 In order to improve the recognition rate of face recognition, face recognition algorithm based on histogram equalization, PCA and BP neural network is proposed. First, the face image is preprocessed by histogram equalization.
Yue Gaili, Lu Lei
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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
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Reactor Temperature Prediction Method Based on CPSO-RBF-BP Neural Network
Applied Sciences, 2023 A neural network model based on a chaotic particle swarm optimization (CPSO) radial basis function-back propagation (RBF-BP) neural network was suggested to improve the accuracy of reactor temperature prediction.
Xiaowei Tang, Bing Xu, Zichen Xu
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Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model
Journal of Function Spaces, 2022 With the continuous development of urbanization, the urban population is becoming more and more dense, and the demand for land is becoming more and more tense. Urban expansion has become an indispensable part of urban development.
Hewu Kuang
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Inelligible neural networks with BP-SOM [PDF]
, 1997 Interpretation of models induced by artificial neural networks is often a difficult task. In this paper we focus on a relatively novel neural network architecture and learning algorithm, bp-som that offers possibilities to overcome this difficulty.
Weijters, T. +2 more
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Shock and Vibration, 2023 To study vibration fatigue damage localization of offshore oil and gas pipelines, aiming at the location error caused by uncertainty of the initial parameters in backpropagation (BP) neural network training, an improved BP neural network based on the ...
Yaoguo Xie +5 more
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An Algorithm for Solving Robot Inverse Kinematics Based on FOA Optimized BP Neural Network
Applied Sciences, 2021 The solution of robot inverse kinematics has a direct impact on the control accuracy of the robot. Conventional inverse kinematics solution methods, such as numerical solution, algebraic solution, and geometric solution, have insufficient solution speed ...
Yonghua Bai, Minzhou Luo, Fenglin Pang
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Cognitive Radio Spectrum Prediction Technology Based on HS-BP Neural Network [PDF]
Jisuanji gongcheng, 2017 Initial weight and threshold are random in the process of training Back Propagation Neural Network(BPNN).Moreover,BP algorithm is easy to fall into local optimum,so the training of BP neural network is uncertain to get the optimal network structure.To ...
HU Pianpian,ZENG Biqing
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