WNN optimization design based on Artificial Fish-Swarm Algorithm

The problem such as parameters initialization and network structure determination is collectively referred to as the WNN optimization design. Aiming at the effect on the performance of WNN, an optimization design algorithm, which is based on Artificial Fish-Swarm Algorithm(AFSA), is proposed. The AF...

Full description

Saved in:
Bibliographic Details
Published inProceedings of 2011 International Conference on Computer Science and Network Technology Vol. 4; pp. 2747 - 2750
Main Authors Tang Xueqin, Duanmu Jingshun, Jin Liya, Xu Zongchang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
artificial fish-swarm algorithm(AFSA)
Mathematical model
optimization design
wavelet neural network(WNN)
Online AccessGet full text

Cover

More Information
Summary:The problem such as parameters initialization and network structure determination is collectively referred to as the WNN optimization design. Aiming at the effect on the performance of WNN, an optimization design algorithm, which is based on Artificial Fish-Swarm Algorithm(AFSA), is proposed. The AFSA can synchronously determine the initial values of parameters and hidden layer nodes number in search space. The simulation results show it is an effective algorithm, which not only has higher accuracy and faster convergence rate but also can avoid the blindness of the WNN optimization design.
ISBN:1457715864
9781457715860
DOI:10.1109/ICCSNT.2011.6182534