中国机械工程2016，Vol.27Issue(14)：1931-1935,5.DOI:10.3969/j.issn.1004-132X.2016.14.015
支持矢量回归机的参数优化及在智能减压阀压力预测中的应用
Parameter Optimization of Support Vector Regression and Its Applications to Pressure Prediction of Intelligent Pressure Reduce Valves
摘要
Abstract
Intelligent pressure reduce valve might regulate the downstream pressure by controlling the diaphragm cylinder pressure.Diaphragm cylinder pressure was the control goal of pressure reduce valve intelligent controller,so it was necessary to forecast the diaphragm cylinder pressure according to upstream pressure and downstream pressure.Thus,the parameter optimization method for SVR was proposed based on artificial chemical reaetion optimization algorithm (ACROA-SVR).Further-more,the ACROA-SVR was applied to the pressure prediction of the diaphragm cylinder pressure herein.By analyzing the experimental data,ACROA-SVR was compared with SVR based on genetic algorithm and traditional SVR.The efficiency and superiority of ACROA-SVR was shown by the ana-lyzed results.关键词
人工化学反应/支持矢量回归机/参数优化/智能减压阀/回归预测Key words
artificial chemical reaction(ACR)/support vector regression(SVR)/parameter opti-mization/intelligent pressure reduce valve/regression prediction分类
信息技术与安全科学引用本文复制引用
童成彪,周志雄,周源..支持矢量回归机的参数优化及在智能减压阀压力预测中的应用[J].中国机械工程,2016,27(14):1931-1935,5.基金项目
国家科技重点专项(2011ZX07412-001-02) （2011ZX07412-001-02）
