Wavelet Chaotic Neural Network with Function Disturbance

DOI

10.2991/icmmbe-16.2016.102How to use a DOI?

Keywords

Chaotic Neural Network, Function Disturbance, Traveling salesman problem

Abstract

Chaotic neural networks have been proved to be strong tools to solve the optimization problems. In order to study the anti-disturbance ability of chaotic neural network, wavelet function disturbance was introduced into morlet wavelet chaotic neural network and chaotic neural units with wavelet function disturbance were studied. The reversed bifurcation and the maximum Lyapunov exponent were given and the dynamic system was analyzed. The simulation results show that the chaotic neural network with function disturbance can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the very strong robustness and anti-interference ability are embodied in chaotic neural network.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yaoqun Xu
AU  - Jian Liu
PY  - 2016/09
DA  - 2016/09
TI  - Wavelet Chaotic Neural Network with Function Disturbance
BT  - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
PB  - Atlantis Press
SP  - 545
EP  - 550
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmbe-16.2016.102
DO  - 10.2991/icmmbe-16.2016.102
ID  - Xu2016/09
ER  -