The amount prediction of gas emitted via wavelet neural network with grey correlation analysis

The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-p...

Full description

Saved in:
Bibliographic Details
Main Authors: Yumin Pan, Xiaoyu Zhang, Pengqian Xue
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Artificial neural networks
Correlation
gas emission quantity
grey relational grade
Neurons
predicting
Training
Wavelet analysis
wavelet neural network
Wavelet transforms
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 1886
container_issue
container_start_page 1882
container_title
container_volume 4
creator Yumin Pan
Xiaoyu Zhang
Pengqian Xue
description The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction system has faster convergence and more accurate prediction compared with those of no data pre-processing by grey correlation analyses.
doi_str_mv 10.1109/ICNC.2010.5584624
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5584624</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5584624</ieee_id><sourcerecordid>5584624</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-fe04b715b89975458cdcc3f4c35a858f1e0ccb681e445baf0d71a17bcc84fad93</originalsourceid><addsrcrecordid>eNo9kMtOwzAURI0AiVL6AYiNfyDFju3YXqKIR6UKNl1T3TjXrSGPynFb9e-JoGJ1dBYz0gwh95zNOWf2cVG-l_OcjaqUkUUuL8gtl7mUyhZcXP6LMuKKTHKudGaVUjdkNgxfjDHBtdbMTsjnaosU2n7fJbqLWAeXQt_R3tMNDBTbkBLW9BCAHuGADSba4T5CMyId-_hNjyFt6Sbiibo-RmzgNw8dNKchDHfk2kMz4OzMKVm9PK_Kt2z58boon5ZZsCxlHpmsNFeVsVYrqYyrnRNeOqHAKOM5MueqwnAcN1XgWa05cF05Z6SH2oopefirDYi43sXQQjytz9eIH2-0V_Y</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>The amount prediction of gas emitted via wavelet neural network with grey correlation analysis</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Yumin Pan ; Xiaoyu Zhang ; Pengqian Xue</creator><creatorcontrib>Yumin Pan ; Xiaoyu Zhang ; Pengqian Xue</creatorcontrib><description>The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction system has faster convergence and more accurate prediction compared with those of no data pre-processing by grey correlation analyses.</description><identifier>ISSN: 2157-9555</identifier><identifier>ISBN: 1424459583</identifier><identifier>ISBN: 9781424459582</identifier><identifier>EISBN: 1424459613</identifier><identifier>EISBN: 9781424459612</identifier><identifier>EISBN: 9781424459599</identifier><identifier>EISBN: 1424459591</identifier><identifier>DOI: 10.1109/ICNC.2010.5584624</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Artificial neural networks ; Correlation ; gas emission quantity ; grey relational grade ; Neurons ; predicting ; Training ; Wavelet analysis ; wavelet neural network ; Wavelet transforms</subject><ispartof>2010 Sixth International Conference on Natural Computation, 2010, Vol.4, p.1882-1886</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5584624$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54530,54895,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5584624$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yumin Pan</creatorcontrib><creatorcontrib>Xiaoyu Zhang</creatorcontrib><creatorcontrib>Pengqian Xue</creatorcontrib><title>The amount prediction of gas emitted via wavelet neural network with grey correlation analysis</title><title>2010 Sixth International Conference on Natural Computation</title><addtitle>ICNC</addtitle><description>The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction system has faster convergence and more accurate prediction compared with those of no data pre-processing by grey correlation analyses.</description><subject>Accuracy</subject><subject>Artificial neural networks</subject><subject>Correlation</subject><subject>gas emission quantity</subject><subject>grey relational grade</subject><subject>Neurons</subject><subject>predicting</subject><subject>Training</subject><subject>Wavelet analysis</subject><subject>wavelet neural network</subject><subject>Wavelet transforms</subject><issn>2157-9555</issn><isbn>1424459583</isbn><isbn>9781424459582</isbn><isbn>1424459613</isbn><isbn>9781424459612</isbn><isbn>9781424459599</isbn><isbn>1424459591</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMtOwzAURI0AiVL6AYiNfyDFju3YXqKIR6UKNl1T3TjXrSGPynFb9e-JoGJ1dBYz0gwh95zNOWf2cVG-l_OcjaqUkUUuL8gtl7mUyhZcXP6LMuKKTHKudGaVUjdkNgxfjDHBtdbMTsjnaosU2n7fJbqLWAeXQt_R3tMNDBTbkBLW9BCAHuGADSba4T5CMyId-_hNjyFt6Sbiibo-RmzgNw8dNKchDHfk2kMz4OzMKVm9PK_Kt2z58boon5ZZsCxlHpmsNFeVsVYrqYyrnRNeOqHAKOM5MueqwnAcN1XgWa05cF05Z6SH2oopefirDYi43sXQQjytz9eIH2-0V_Y</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Yumin Pan</creator><creator>Xiaoyu Zhang</creator><creator>Pengqian Xue</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>The amount prediction of gas emitted via wavelet neural network with grey correlation analysis</title><author>Yumin Pan ; Xiaoyu Zhang ; Pengqian Xue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-fe04b715b89975458cdcc3f4c35a858f1e0ccb681e445baf0d71a17bcc84fad93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accuracy</topic><topic>Artificial neural networks</topic><topic>Correlation</topic><topic>gas emission quantity</topic><topic>grey relational grade</topic><topic>Neurons</topic><topic>predicting</topic><topic>Training</topic><topic>Wavelet analysis</topic><topic>wavelet neural network</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Yumin Pan</creatorcontrib><creatorcontrib>Xiaoyu Zhang</creatorcontrib><creatorcontrib>Pengqian Xue</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yumin Pan</au><au>Xiaoyu Zhang</au><au>Pengqian Xue</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The amount prediction of gas emitted via wavelet neural network with grey correlation analysis</atitle><btitle>2010 Sixth International Conference on Natural Computation</btitle><stitle>ICNC</stitle><date>2010-08</date><risdate>2010</risdate><volume>4</volume><spage>1882</spage><epage>1886</epage><pages>1882-1886</pages><issn>2157-9555</issn><isbn>1424459583</isbn><isbn>9781424459582</isbn><eisbn>1424459613</eisbn><eisbn>9781424459612</eisbn><eisbn>9781424459599</eisbn><eisbn>1424459591</eisbn><abstract>The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction system has faster convergence and more accurate prediction compared with those of no data pre-processing by grey correlation analyses.</abstract><pub>IEEE</pub><doi>10.1109/ICNC.2010.5584624</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2157-9555
ispartof 2010 Sixth International Conference on Natural Computation, 2010, Vol.4, p.1882-1886
issn 2157-9555
language eng
recordid cdi_ieee_primary_5584624
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Artificial neural networks
Correlation
gas emission quantity
grey relational grade
Neurons
predicting
Training
Wavelet analysis
wavelet neural network
Wavelet transforms
title The amount prediction of gas emitted via wavelet neural network with grey correlation analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-22T12%3A00%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=The%20amount%20prediction%20of%20gas%20emitted%20via%20wavelet%20neural%20network%20with%20grey%20correlation%20analysis&rft.btitle=2010%20Sixth%20International%20Conference%20on%20Natural%20Computation&rft.au=Yumin%20Pan&rft.date=2010-08&rft.volume=4&rft.spage=1882&rft.epage=1886&rft.pages=1882-1886&rft.issn=2157-9555&rft.isbn=1424459583&rft.isbn_list=9781424459582&rft_id=info:doi/10.1109/ICNC.2010.5584624&rft.eisbn=1424459613&rft.eisbn_list=9781424459612&rft.eisbn_list=9781424459599&rft.eisbn_list=1424459591&rft_dat=%3Cieee_6IE%3E5584624%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-fe04b715b89975458cdcc3f4c35a858f1e0ccb681e445baf0d71a17bcc84fad93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5584624&rfr_iscdi=true