A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process

It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. Th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied Mechanics and Materials 2014-01, Vol.441, p.772-775
Hauptverfasser: Zhuang, Dian Zheng, Li, Ping, Zhu, Yu Hua, Tong, Wei Yan
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 775
container_issue
container_start_page 772
container_title Applied Mechanics and Materials
container_volume 441
creator Zhuang, Dian Zheng
Li, Ping
Zhu, Yu Hua
Tong, Wei Yan
description It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. The result can provide reference for analyzing and optimizing the parameters of nitric acid process.
doi_str_mv 10.4028/www.scientific.net/AMM.441.772
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1465433229</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3147774171</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-6962c8307f78503492091be47a0f1bd63194a3373a1526d66024da709fdf8a233</originalsourceid><addsrcrecordid>eNqNkFtLAzEQhYMX8PofAoJvu81tk82LWIpWQW0f9Dmk2axGdzc1SSn6602toI8-DYeZOXPmA-Aco5IhUo_W63UZjbNDcq0z5WDTaHx_XzKGSyHIDjjEnJNCsJrsglMpaoqoqCuJKNn77qFCUsoPwFGMrwhxhll9CLoxnPh-4QbbwAe7CrrLJa19eIN6aODU5jPOwHH37INLLz2cLZPr3adOzg_Qt1nb8C3y5lwH3dtkA3QDfHApbDaNa-A8eGNjPAH7re6iPf2px-Dp-upxclPczaa3k_FdYWjFU8ElJybHF23OjyiTBEm8sExo1OJFwymWTFMqqMYV4U3-jLBGCyTbpq01ofQYnG19l8G_r2xM6tWvQk4YFWa8YpQSIvPUxXbKBB9jsK1aBtfr8KEwUhviKhNXv8RVRqEycZWJq0w8G1xuDVLQQ0zWvPy58z-LLyJAj3A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1465433229</pqid></control><display><type>article</type><title>A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process</title><source>Scientific.net Journals</source><creator>Zhuang, Dian Zheng ; Li, Ping ; Zhu, Yu Hua ; Tong, Wei Yan</creator><creatorcontrib>Zhuang, Dian Zheng ; Li, Ping ; Zhu, Yu Hua ; Tong, Wei Yan</creatorcontrib><description>It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. The result can provide reference for analyzing and optimizing the parameters of nitric acid process.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 9783037859032</identifier><identifier>ISBN: 3037859032</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.441.772</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2014-01, Vol.441, p.772-775</ispartof><rights>2014 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Dec 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-6962c8307f78503492091be47a0f1bd63194a3373a1526d66024da709fdf8a233</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/2789?width=600</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids></links><search><creatorcontrib>Zhuang, Dian Zheng</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Zhu, Yu Hua</creatorcontrib><creatorcontrib>Tong, Wei Yan</creatorcontrib><title>A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process</title><title>Applied Mechanics and Materials</title><description>It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. The result can provide reference for analyzing and optimizing the parameters of nitric acid process.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>9783037859032</isbn><isbn>3037859032</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkFtLAzEQhYMX8PofAoJvu81tk82LWIpWQW0f9Dmk2axGdzc1SSn6602toI8-DYeZOXPmA-Aco5IhUo_W63UZjbNDcq0z5WDTaHx_XzKGSyHIDjjEnJNCsJrsglMpaoqoqCuJKNn77qFCUsoPwFGMrwhxhll9CLoxnPh-4QbbwAe7CrrLJa19eIN6aODU5jPOwHH37INLLz2cLZPr3adOzg_Qt1nb8C3y5lwH3dtkA3QDfHApbDaNa-A8eGNjPAH7re6iPf2px-Dp-upxclPczaa3k_FdYWjFU8ElJybHF23OjyiTBEm8sExo1OJFwymWTFMqqMYV4U3-jLBGCyTbpq01ofQYnG19l8G_r2xM6tWvQk4YFWa8YpQSIvPUxXbKBB9jsK1aBtfr8KEwUhviKhNXv8RVRqEycZWJq0w8G1xuDVLQQ0zWvPy58z-LLyJAj3A</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Zhuang, Dian Zheng</creator><creator>Li, Ping</creator><creator>Zhu, Yu Hua</creator><creator>Tong, Wei Yan</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20140101</creationdate><title>A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process</title><author>Zhuang, Dian Zheng ; Li, Ping ; Zhu, Yu Hua ; Tong, Wei Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-6962c8307f78503492091be47a0f1bd63194a3373a1526d66024da709fdf8a233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhuang, Dian Zheng</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Zhu, Yu Hua</creatorcontrib><creatorcontrib>Tong, Wei Yan</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhuang, Dian Zheng</au><au>Li, Ping</au><au>Zhu, Yu Hua</au><au>Tong, Wei Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2014-01-01</date><risdate>2014</risdate><volume>441</volume><spage>772</spage><epage>775</epage><pages>772-775</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>9783037859032</isbn><isbn>3037859032</isbn><abstract>It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. The result can provide reference for analyzing and optimizing the parameters of nitric acid process.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.441.772</doi><tpages>4</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1660-9336
ispartof Applied Mechanics and Materials, 2014-01, Vol.441, p.772-775
issn 1660-9336
1662-7482
1662-7482
language eng
recordid cdi_proquest_journals_1465433229
source Scientific.net Journals
title A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T18%3A31%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Combined%20Neural%20Network%20and%20Genetic%20Algorithm%20Optimization%20of%20Operational%20Parameter%20in%20Nitric%20Acid%20Process&rft.jtitle=Applied%20Mechanics%20and%20Materials&rft.au=Zhuang,%20Dian%20Zheng&rft.date=2014-01-01&rft.volume=441&rft.spage=772&rft.epage=775&rft.pages=772-775&rft.issn=1660-9336&rft.eissn=1662-7482&rft.isbn=9783037859032&rft.isbn_list=3037859032&rft_id=info:doi/10.4028/www.scientific.net/AMM.441.772&rft_dat=%3Cproquest_cross%3E3147774171%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1465433229&rft_id=info:pmid/&rfr_iscdi=true