Underground adaptive positioning algorithm based on SAPSO-BP neural network

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 positioning algorithm based on simulated annealing...

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Bibliographic Details

Published in:	Gong-kuang zidonghua
Main Authors:	MO Shupei, TANG Jin, DU Yongwan, CHEN Ming
Format:	Article
Language:	Chinese
Published:	Editorial Department of Industry and Mine Automation 2019-07-01
Subjects:	underground personnel positioning adaptive positioning simulated annealing and particle swarm optimization algorithm sapso-bp neural network adaptive dynamic calibratio
Online Access:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2019010066