New Algorithm for Node Selection in Hidden Layer of Wavelet Networks
Yin Hua Jia · Jisuanji fangzhen · 2007
A new algorithm for the node selection was proposed for the hide layer of wavelet networks. This new algorithm divided the original node group into several parts to avoid comparing among the poor nodes and used QR decomposition to select the optimum nodes. The burden of the heavy calculation with a good precision was relieved. Applying this algorithm to the wavelet network with the analysis of variance (ANOVA) expansion made one-step-ahead predictions, respectively, for the Mackey-Glass delay-differential equation and the annually sunspot data set. The results show that the new algorithm can catch the characteristics of the systems and has a good performance.