RBFN Structure Determination Strategy Based on PLS and Gas
基于PLS和GAs的径基函数网络构造策略

In view of the drawbacks of the conventional structure determination strategies for RBFN (radial basis function network), a RBFN structure determination strategy based on PLS (partial least squares) and Gas (genetic algorithms), and a more effective determination method for radial basis width are proposed in this paper. In this structure determination strategy, PLS avoids the local optima occurring in the process of calculating radial basis with K-Means algorithm and makes the synthesized radial bases more representative than the radial basis got by ortgogonal algorithm.Furthermore the propsed determination method method for radial basis widdth and GAs guarantee the substantial improvement and optimization on the networks perofrmance and structure.Finally,the experiments demonstrate the superiority,the reliability,anf the effectiveness of the proposed RBFN structure determination strategy based on PLS and GAs,and the proposed determinatinon method for radial basis width.