Results 1 to 10 of about 181,909 (270)
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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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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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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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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Cell Recognition Using BP Neural Network Edge Computing
Contrast Media & Molecular Imaging, 2022 This exploration is to solve the efficiency and accuracy of cell recognition in biological experiments. Neural network technology is applied to the research of cell image recognition. The cell image recognition problem is solved by constructing an image recognition algorithm.
Xiangxi Du, Muyun Liu, Yanhua Sun
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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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Network Situation Assessment Method Based on Improved BP Neural Network
Electronics, 2022 Although a software defined network (SDN) realizes the flexible configuration and centralized control of network resources, there are potential security risks and challenges. Network security situation awareness (NSSA) technology associates and integrates multi-source heterogeneous information to analyze the impact of the information on the whole ...
Zhiqiang Du +5 more
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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 +4 more
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