Results 21 to 30 of about 5,507,494 (254)
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
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 +4 more
doaj +1 more source
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 +4 more
doaj +1 more source
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
doaj +1 more source
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 +5 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
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
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source