全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用：99美元
投递稿件

查看量下载量

相关文章

更多...
热力发电  2014 

doublehiddenlayerrbfprocessneuralnetworkbasedonlinepredictionofsteamturbineexhaustenthalpy

, PP. 36-40

Keywords: steamturbine,exhaustenthalpy,rbfprocessneuralnetworkwithtwohiddenlayers,onlineforecasting

Full-Text   Cite this paper   Add to My Lib

Abstract:

inordertodiagnosetheuniteconomicperformanceonline,theradialbasisfunction(rbf)processneuralnetworkwithtwohiddenlayerswasintroducedtoonlinepredictionofsteamturbineexhaustenthalpy.thus,themodelreflectingcomplicatedrelationshipbetweenthesteamturbineexhaustenthalpyandtherelativeoperationparameterswasestablished.moreover,theenthalpyoffinalstageextractionsteamandexhaustfroma300mwunitturbinewastakenastheexampletoperformtheonlinecalculation.theresultsshowthat,theaveragerelativeerrorofthismethodislessthan1%,sotheaccuracyofthisalgorithmishigherthanthatofthebpneutralnetwork.furthermore,thismethodhasadvantagesofhighconvergencerate,simplestructureandhighaccuracy.

 References

[1]  wanggang,zhangguang.astudyontwoproblemsofthermodynamiccalculationmatrixmethod[j].modernelectricpower,2000,17(1):12-15.
[2]  caozuqing.steamturbinecharacteristics[m].beijing:chinawater&powerpress,1989(inchinese).
[3]  wenxin,zhoulu,lixiang.simulationandapplicationofmatlabneuralnetwork[m].beijing:sciencepress,2003(inchinese).
[4]  caijiejin,maxiaoqian.applicationofsupportvectormachineinthesteamturbineexhauststeamenthalpyonlineprediction[j].automationofelectricpowersystems,2006,30(18):77-82.
[5]  gaojunru,dingguangbin,mengxin,etal.hierarchicalradialbasisneuralnetworkusingsteamturbineexhauststeamenthalpycalculation[j].powerengineering,2005,25(4):466-468.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133