A Functional Network Modeling Approach for Function Series Ezpansion

摘要：

In this paper, a novel function series expansion method based on functional network model is proposed, and a functional network model for functions in several variables series expansion and learning algorithm are given, the learning of parameters of the functional networks is carried out by the solving linear equations. The simulation results show that the proposed approach is more efficient and feasible in function series expansion. By this algorithm, we only need the sample space of the original functions. So this algorithm has the value of application in industries.

关键词： functional network base functions learning algorithm function series ezpansion.

作者: Qifang Luo Yongquan Zhou Xiuxi Wei

作者单位: College of Mathematics and Computer Science Guangxi University for Nationalities Nanning 530006,Chin Guangxi International Business Vocational College Nanning 530005,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 113-117

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）