The RBFNN 's application in nonlinear system model based on improved APC-III algorithm

Authors:
Xinping Liu;Xiwen Xue;Mingwen Zheng
Affiliations:
Computer and communication engineering, China University of Petroleum, Dongying Shandong, China;Computer and communication engineering, China University of Petroleum, Dongying Shandong, China;Computer and communication engineering, China University of Petroleum, Dongying Shandong, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2010

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Abstract

This paper proposed an improved APC-III algorithm to determine RBFNN's hidden-layer structure. The improved algorithm is used to obtain the different radial basis width and less hidden-layer node number. The RBFNN was constructed with the hidden-layer structure that got by the improved algorithm. Two nonlinear system's model simulations were carried on with the RBFNN. The simulation results show that the structure produced RBFNN by improved algorithm is simple and the generalization performance is better than the original algorithm.