计算机工程与应用Issue(14)：264-266,270,4.DOI:10.3778/j.issn.1002-8331.1111-0162
基于遗传BP网络的变位储油罐识别模型
Dislodgement recognition of oil tank with GA-BP networks.
摘要
Abstract
In view of tank capacity charts are distorted after oil tank dislodge, the integral model is established with micro-element method. The function relationship between oil volume, oil height, vertical angle and crosswise deflection angle is obtained. Dislodgement parameter is determined with least squares method and Matlab software. Also deflection angle is amended with genetic algorithms and BP networks to improve the accuracy. Then tank capacity charts are revised after oil tank dislodge. The model has certain promotion through sample data.关键词
储油罐/变位/遗传算法/反向传播(BP)网络Key words
oil tank/dislodge/genetic algorithms/Back Propagation(BP)networks分类
数理科学引用本文复制引用
孙娓娓,盛兴平,黄映雪..基于遗传BP网络的变位储油罐识别模型[J].计算机工程与应用,2013,(14):264-266,270,4.基金项目
阜阳师范学院科研项目（No.2011FSKJ08）；安徽省教育厅自然科学重点项目（No.KJ2010A253）。 （）
