A Novel Functional-link ANN and Its Application on Intelligent Sensors Dynamic Modeling

摘要：

A novel construction method of functional link artificial neural networks(FLANN)using support vector regression(SVR)was presented and applied to dynamic modeling for sensor.In this method,the SVR was compared with generic FLANN,which had a form similar to the SVR,and was shown to be equivalent to the FLANN estimate.An optimum FLANN solution could be obtained by SVR with the proper choice of the parameters.Therefore,the new FLANN could be uniquely obtained due to solving a quadratic programming instead of an iterative problem.The dynamic modeling experiment results show that,a generic FLANN has been developed to solve the same problem for comparison,the presented method is higher in accuracy and more robust in noise resistance.

作者: Xiaoh Wang

作者单位: Key Lab of Numerical Control of Jiangxi Province,Jiujiang University,Jiujiang 332005,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）