Article(id=1242118347601544079, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242118341532386177, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1219334400000, receivedDateStr=2008-08-22, revisedDate=-2209017600000, revisedDateStr=1900-01-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1176134400000, onlineDateStr=2007-04-10, pubDate=1176134400000, pubDateStr=2007-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1176134400000, onlineIssueDateStr=2007-04-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774073691508, creator=sys-migrate, updateTime=1774073691508, updator=sys-migrate, issue=Issue{id=1242118341532386177, tenantId=1146029695717560320, journalId=1146031591421210625, year='2007', volume='25', issue='0707', pageStart='1', pageEnd='78', issueExtLink='null', onlineDate='null', pubDate='1176134400000', pubDateStr='2007-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774073690062, creator='sys-migrate', updateTime=1774073690062, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=33, endPage=35, ext={EN=ArticleExt(id=1242118351112176549, articleId=1242118347601544079, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Investigation on Modeling of Ecological Factors of SRB in the Treatment of Sulfate Wastewater with GA-NN, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The niche of SRB is a key factor in the sulfate wastewater treatment in acidogenic-desulfate reactor. In this paper, the weights of jointing in the network are optimized with Genetic Algorithms on the basis of BPNN(Back-Propagation Neural Network) and the model . Emulation of the acidogenic-desulfate reducing system is also made by combining Back Propagation Neural Network with Genetic Algorithms. The investigation shows that the mean error obtained from GA (Genetic Algorithms) model is more accurate and credible than that from RA (Regression Analysis) model ., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=bbq+de5dAJXVqSsiWSGaEw==, pdfFileSize=394191, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242118350252344217, articleId=1242118347601544079, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=硫酸盐废水处理中SRB生态因子的GA-NN建模研究, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=利用产酸-硫酸盐还原反应器对高浓度硫酸盐废水进行处理时，硫酸盐还原菌的生态位是该系统的核心问题。将神经网络与遗传算法有机地结合起来，以神经网络为理论基础，利用遗传算法优化网络中的连接权值，对产酸硫酸盐还原反应系统进行建模与仿真化，并将之与采用回归分析法的模拟结果相对比。研究结果表明采用遗传算法优化神经网络的效果较好，所建模型的运算结果更为可靠。, authors=徐岩1,王爱杰2,孙晓君1,赵珣宇1, authorsList=徐岩;王爱杰;孙晓君;赵珣宇, authorCompany=1哈尔滨理工大学化学与环境工程学院 哈尔滨 2哈尔滨工业大学市政环境工程学院 哈尔滨, correspAuthors=null, authorNote=null, correspAuthorsNote=孙晓君, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=mWo34vZNjaknZ0wUUiMmyA==, pdfFileSize=394191, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, keywords=null, refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1125356956822126595, delFlag=0, nameCn=科技导报, nameEn=Science & Technology Review, nameHistory1=null, 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