Loading…
Grey BP neural network-based operating and support cost forecast
A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter's variation are discussed in details. Then the grey artificial neural-based hybrid mode...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 734 |
container_issue | |
container_start_page | 732 |
container_title | |
container_volume | |
creator | Long Guang Zheng Shi Xiangfeng Ma Cenrui |
description | A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter's variation are discussed in details. Then the grey artificial neural-based hybrid model is designed to identify the factors that affect the operating and support cost of the three key indicators index for the assessment of parameters including ground to some equipment to achieve operating, support cost for the use of scientific control and prediction. Hence, this method can provide a certain reference value to assist the research and development of weapons systems. |
doi_str_mv | 10.1109/GSIS.2011.6044055 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6044055</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6044055</ieee_id><sourcerecordid>6044055</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-e0d0a7e503de2ed60131670d411b5965b17cb1445c69bc6ecfe6f7bd2022bfaa3</originalsourceid><addsrcrecordid>eNpNkM1Kw0AURkdUsNQ8gLiZF0i8d2YyyezUYmOhoNDuy_zcSLQmYSZF-vYW7MKzOZzNt_gYu0MoEME8NJvVphCAWGhQCsrygmWmqlGjqJWqjbz83wbMFZsJ1Do3SsINy1L6hBNaG5TVjD02kY78-Z33dIh2f9L0M8Sv3NlEgQ8jRTt1_Qe3feDpMI5DnLgf0sTbIZK3abpl163dJ8rOnrPt8mW7eM3Xb81q8bTOOwNTThDAVlSCDCQoaECJuoKgEF1pdOmw8g6VKr02zmvyLem2ckGAEK61Vs7Z_d9sR0S7MXbfNh535wvkL1RgTSM</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Grey BP neural network-based operating and support cost forecast</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Long Guang Zheng ; Shi Xiangfeng ; Ma Cenrui</creator><creatorcontrib>Long Guang Zheng ; Shi Xiangfeng ; Ma Cenrui</creatorcontrib><description>A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter's variation are discussed in details. Then the grey artificial neural-based hybrid model is designed to identify the factors that affect the operating and support cost of the three key indicators index for the assessment of parameters including ground to some equipment to achieve operating, support cost for the use of scientific control and prediction. Hence, this method can provide a certain reference value to assist the research and development of weapons systems.</description><identifier>ISSN: 2166-9430</identifier><identifier>ISBN: 9781612844909</identifier><identifier>ISBN: 1612844901</identifier><identifier>EISBN: 9781612844893</identifier><identifier>EISBN: 161284491X</identifier><identifier>EISBN: 1612844898</identifier><identifier>EISBN: 9781612844916</identifier><identifier>DOI: 10.1109/GSIS.2011.6044055</identifier><language>eng</language><publisher>IEEE</publisher><subject>BP artificial neural network ; grey BP model ; operating and support cost ; Weapons</subject><ispartof>Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, 2011, p.732-734</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/6044055$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6044055$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Long Guang Zheng</creatorcontrib><creatorcontrib>Shi Xiangfeng</creatorcontrib><creatorcontrib>Ma Cenrui</creatorcontrib><title>Grey BP neural network-based operating and support cost forecast</title><title>Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services</title><addtitle>GSIS</addtitle><description>A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter's variation are discussed in details. Then the grey artificial neural-based hybrid model is designed to identify the factors that affect the operating and support cost of the three key indicators index for the assessment of parameters including ground to some equipment to achieve operating, support cost for the use of scientific control and prediction. Hence, this method can provide a certain reference value to assist the research and development of weapons systems.</description><subject>BP artificial neural network</subject><subject>grey BP model</subject><subject>operating and support cost</subject><subject>Weapons</subject><issn>2166-9430</issn><isbn>9781612844909</isbn><isbn>1612844901</isbn><isbn>9781612844893</isbn><isbn>161284491X</isbn><isbn>1612844898</isbn><isbn>9781612844916</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNkM1Kw0AURkdUsNQ8gLiZF0i8d2YyyezUYmOhoNDuy_zcSLQmYSZF-vYW7MKzOZzNt_gYu0MoEME8NJvVphCAWGhQCsrygmWmqlGjqJWqjbz83wbMFZsJ1Do3SsINy1L6hBNaG5TVjD02kY78-Z33dIh2f9L0M8Sv3NlEgQ8jRTt1_Qe3feDpMI5DnLgf0sTbIZK3abpl163dJ8rOnrPt8mW7eM3Xb81q8bTOOwNTThDAVlSCDCQoaECJuoKgEF1pdOmw8g6VKr02zmvyLem2ckGAEK61Vs7Z_d9sR0S7MXbfNh535wvkL1RgTSM</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Long Guang Zheng</creator><creator>Shi Xiangfeng</creator><creator>Ma Cenrui</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201109</creationdate><title>Grey BP neural network-based operating and support cost forecast</title><author>Long Guang Zheng ; Shi Xiangfeng ; Ma Cenrui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e0d0a7e503de2ed60131670d411b5965b17cb1445c69bc6ecfe6f7bd2022bfaa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>BP artificial neural network</topic><topic>grey BP model</topic><topic>operating and support cost</topic><topic>Weapons</topic><toplevel>online_resources</toplevel><creatorcontrib>Long Guang Zheng</creatorcontrib><creatorcontrib>Shi Xiangfeng</creatorcontrib><creatorcontrib>Ma Cenrui</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/IET Electronic Library</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>Long Guang Zheng</au><au>Shi Xiangfeng</au><au>Ma Cenrui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Grey BP neural network-based operating and support cost forecast</atitle><btitle>Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services</btitle><stitle>GSIS</stitle><date>2011-09</date><risdate>2011</risdate><spage>732</spage><epage>734</epage><pages>732-734</pages><issn>2166-9430</issn><isbn>9781612844909</isbn><isbn>1612844901</isbn><eisbn>9781612844893</eisbn><eisbn>161284491X</eisbn><eisbn>1612844898</eisbn><eisbn>9781612844916</eisbn><abstract>A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter's variation are discussed in details. Then the grey artificial neural-based hybrid model is designed to identify the factors that affect the operating and support cost of the three key indicators index for the assessment of parameters including ground to some equipment to achieve operating, support cost for the use of scientific control and prediction. Hence, this method can provide a certain reference value to assist the research and development of weapons systems.</abstract><pub>IEEE</pub><doi>10.1109/GSIS.2011.6044055</doi><tpages>3</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2166-9430 |
ispartof | Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, 2011, p.732-734 |
issn | 2166-9430 |
language | eng |
recordid | cdi_ieee_primary_6044055 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | BP artificial neural network grey BP model operating and support cost Weapons |
title | Grey BP neural network-based operating and support cost forecast |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T04%3A55%3A13IST&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=Grey%20BP%20neural%20network-based%20operating%20and%20support%20cost%20forecast&rft.btitle=Proceedings%20of%202011%20IEEE%20International%20Conference%20on%20Grey%20Systems%20and%20Intelligent%20Services&rft.au=Long%20Guang%20Zheng&rft.date=2011-09&rft.spage=732&rft.epage=734&rft.pages=732-734&rft.issn=2166-9430&rft.isbn=9781612844909&rft.isbn_list=1612844901&rft_id=info:doi/10.1109/GSIS.2011.6044055&rft.eisbn=9781612844893&rft.eisbn_list=161284491X&rft.eisbn_list=1612844898&rft.eisbn_list=9781612844916&rft_dat=%3Cieee_6IE%3E6044055%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-e0d0a7e503de2ed60131670d411b5965b17cb1445c69bc6ecfe6f7bd2022bfaa3%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=6044055&rfr_iscdi=true |