Identification of coal-rock interface based on principal component analysis and BP neural network

In view of problem of slow identification speed and bad real-time performance of current identification method of coal-rock interface because of extracting much time domain signals, an identification method based on principal component analysis and BP neural network was proposed. According to the me...

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Bibliographic Details
Main Authors: ZHANG Ning, REN Mao-wen, LIU Ping
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2013-04-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/id/9073