%0 Journal Article
%T Prediction method of water content ratio of crude oil based on optimized artificial neural network<br>基于优化神经网络预报的原油含水率测量
%A ZHANG Yong-jun
%A ZHUANG Xin-li
%A SONG Jia-min
%A <br>张勇军
%A 庄欣莉
%A 宋佳民
%J 系统工程理论与实践
%D 2011
%I 
%X On-line density method has a strong practical value in water content ratio measurement of crude oil,but the shortcoming is that the greater volatility of measurement error is affected by the uncertain factors in the field.In order to improve the accuracy of water content ratio and stability,the back-propagation neural network is used in density mathematical method of calculating water content.For the algorithm convergence speed is slow and easily get into the local minimum points,it is proposed simulated an...
%K water content measurement
%K back-propagation neural network
%K simulated annealing algorithm
%K error prediction<br>含水率测量
%K 误差反向传播神经网络
%K 模拟退火算法
%K 误差预报
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=5704D2E38E2B920FADCA18737D980C85&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=B31275AF3241DB2D&sid=1AA557EFF1C6B447&eid=87EA718095CEFCE5&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=12