Prediction of gas concentration based on residual correction of Markov chai
In view of problem of low accuracy of part of prediction values while using gray neural network for gas concentration prediction, the paper proposed a method of using Markov model to correct prediction results of three-order gray neural network model. It described establishment of gray neural networ...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Industry and Mine Automation
2014-03-01
|
Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.03.008 |
_version_ | 1797868634575470592 |
---|---|
author | HAN Tingting WU Shiyue WANG Pengjun |
author_facet | HAN Tingting WU Shiyue WANG Pengjun |
author_sort | HAN Tingting |
collection | DOAJ |
description | In view of problem of low accuracy of part of prediction values while using gray neural network for gas concentration prediction, the paper proposed a method of using Markov model to correct prediction results of three-order gray neural network model. It described establishment of gray neural network model and Markov residual correction method, and used the method to analyze and predict gas concentration in different locations of a coal mine at different times. Practical application results show that the maximum relative error of predicted gas concentration and measured value reduced from 14% to 6% after Markov residual correction, and the corrected gas concentration curve is closer to the actual changing trend of gas concentration. |
first_indexed | 2024-04-10T00:00:02Z |
format | Article |
id | doaj.art-64e22d1593f34675a37c04da649d1848 |
institution | Directory Open Access Journal |
issn | 1671-251X |
language | zho |
last_indexed | 2024-04-10T00:00:02Z |
publishDate | 2014-03-01 |
publisher | Editorial Department of Industry and Mine Automation |
record_format | Article |
series | Gong-kuang zidonghua |
spelling | doaj.art-64e22d1593f34675a37c04da649d18482023-03-17T01:52:10ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2014-03-01403283110.13272/j.issn.1671-251x.2014.03.008Prediction of gas concentration based on residual correction of Markov chaiHAN Tingting0WU Shiyue1WANG Pengjun2College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaShanxi Asian American Daning Energy Co., Ltd., Jincheng 048000, ChinaIn view of problem of low accuracy of part of prediction values while using gray neural network for gas concentration prediction, the paper proposed a method of using Markov model to correct prediction results of three-order gray neural network model. It described establishment of gray neural network model and Markov residual correction method, and used the method to analyze and predict gas concentration in different locations of a coal mine at different times. Practical application results show that the maximum relative error of predicted gas concentration and measured value reduced from 14% to 6% after Markov residual correction, and the corrected gas concentration curve is closer to the actual changing trend of gas concentration.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.03.008prediction of gas concentrationmarkov chainresidual correctiongray neural network |
spellingShingle | HAN Tingting WU Shiyue WANG Pengjun Prediction of gas concentration based on residual correction of Markov chai Gong-kuang zidonghua prediction of gas concentration markov chain residual correction gray neural network |
title | Prediction of gas concentration based on residual correction of Markov chai |
title_full | Prediction of gas concentration based on residual correction of Markov chai |
title_fullStr | Prediction of gas concentration based on residual correction of Markov chai |
title_full_unstemmed | Prediction of gas concentration based on residual correction of Markov chai |
title_short | Prediction of gas concentration based on residual correction of Markov chai |
title_sort | prediction of gas concentration based on residual correction of markov chai |
topic | prediction of gas concentration markov chain residual correction gray neural network |
url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.03.008 |
work_keys_str_mv | AT hantingting predictionofgasconcentrationbasedonresidualcorrectionofmarkovchai AT wushiyue predictionofgasconcentrationbasedonresidualcorrectionofmarkovchai AT wangpengjun predictionofgasconcentrationbasedonresidualcorrectionofmarkovchai |