DocumentCode
523634
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
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
527
Lastpage
530
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICICTA.2010.202
Filename
5522732
Link To Document