Title :
An Improved APC-III Algorithm´s RBFNN and its Application in the Nonlinear System Model
Author :
Zheng, Mingwen ; Zhang, Yanping
Author_Institution :
Sch. of Sci., ShanDong Univ. of Technol., Zibo, China
Abstract :
This paper proposed an improved APC-III algorithm to determine RBFNN’s hidden-layer structure. The improved algorithm obtained different radial basis width, less hidden-layer node number. We constructed RBFNN with the improved algorithm that got hidden-layer structure. And two nonlinear system´s model simulations were carried on with the RBFNN. The simulation result indicated that its structure is simple and generalization performance produced RBFNN by improved algorithm is better than the original algorithm.
Keywords :
Approximation algorithms; Cities and towns; Clustering algorithms; Equations; Function approximation; Kernel; Least squares approximation; Least squares methods; Nonlinear systems; Paper technology; APC-III algorithm; Hidden-layer structure; Radial Basis Function Neural Network; nonlinear system model;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha, China
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.202
