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https://doi.org/10.17559/TV-20200429151307

Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model

Shenshen Chi ; 1) School of Earth and Environment, Anhui University of Science and Technology 2) School of Geomatics, Anhui University of Science and Technology 3) Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology 4) Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology
Xuexiang Yu* ; School of Geomatics, Anhui University of Science and Technology, Huainan, 232001, China
Lei Wang ; School of Geomatics, Anhui University of Science and Technology, Huainan, 232001, China

Puni tekst: engleski, pdf (523 KB) str. 160-168 preuzimanja: 33* citiraj
APA 6th Edition
Chi, S., Yu*, X. i Wang, L. (2021). Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model. Tehnički vjesnik, 28 (1), 160-168. https://doi.org/10.17559/TV-20200429151307
MLA 8th Edition
Chi, Shenshen, et al. "Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model." Tehnički vjesnik, vol. 28, br. 1, 2021, str. 160-168. https://doi.org/10.17559/TV-20200429151307. Citirano 20.04.2021.
Chicago 17th Edition
Chi, Shenshen, Xuexiang Yu* i Lei Wang. "Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model." Tehnički vjesnik 28, br. 1 (2021): 160-168. https://doi.org/10.17559/TV-20200429151307
Harvard
Chi, S., Yu*, X., i Wang, L. (2021). 'Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model', Tehnički vjesnik, 28(1), str. 160-168. https://doi.org/10.17559/TV-20200429151307
Vancouver
Chi S, Yu* X, Wang L. Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model. Tehnički vjesnik [Internet]. 2021 [pristupljeno 20.04.2021.];28(1):160-168. https://doi.org/10.17559/TV-20200429151307
IEEE
S. Chi, X. Yu* i L. Wang, "Calculation Method of Probability Integration Method Parameters Based on MIV-GP-BP Model", Tehnički vjesnik, vol.28, br. 1, str. 160-168, 2021. [Online]. https://doi.org/10.17559/TV-20200429151307

Sažetak
In order to guarantee the precision of the parameters of the probability integral method (PIM), starting from optimizing input and improving algorithm an algorithm integrating the genetic algorithm (GA) and particle swarm optimization (PSO) was put forward to optimize the prediction model of BP neural network and the mean impact value algorithm (MIV) was applied to optimize the input of BP neural network. The mean impact value algorithm (MIV) was applied to optimize the input of BP neural network. The measured data of 50 working faces were chosen as the training and testing sets to build the MIV-GP-BP model. The results showed that among the five parameters, the RMSE was between 0.0058 and 1.1575, the MaxRE of q, tanβ, b and θ was less than 5.42%, and the MeaRE was less than 2.81%. The RMSE of s/H did not exceed 0.0058, the MaxRE was less than 9.66% and the MeaRE was less than 4.31% (the parameters themselves were small). The optimized neural network model had higher prediction accuracy and stability.

Ključne riječi
BP neural network; MIV algorithm; mining subsidence; optimization algorithm; PIM; underground mining

Hrčak ID: 251534

URI
https://hrcak.srce.hr/251534

Posjeta: 88 *