Chaos glial network connected to Multi-Layer Perceptron for Solving Two-Spiral Problem

Author

Ikuta, Chihiro ; Uwate, Yoko ; Nishio, Yoshifumi

Author_Institution

Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan

fYear

2010

fDate

May 30 2010-June 2 2010

Firstpage

1360

Lastpage

1363

Abstract

Some methods using artificial neural network were proposed for solving to the Two-Spiral Problem (TSP). TSP is a problem which classifies two spirals drawn on the plane, and it is famous as the high nonlinear problem. In this paper, we propose a chaos glial network which connected to Multi-Layer Perceptron (MLP). The chaos glial network is inspired by astrocyte which is glial cell in the brain. By computer simulations for solving TSP, we confirmed that the proposed chaos glial network connected to MLP gains better performance than the conventional MLP.

Keywords

biocomputing; biological tissues; chaos; multilayer perceptrons; neural nets; nonlinear systems; artificial neural network; chaos glial network; computer simulations; conventional MLP; glial cell; multilayer perceptron; two spiral problem; Artificial neural networks; Biological neural networks; Chaos; Computer simulation; Electronic mail; Multilayer perceptrons; Neural networks; Neurons; Pattern classification; Spirals;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-5308-5

Electronic_ISBN

978-1-4244-5309-2

Type

conf

DOI

10.1109/ISCAS.2010.5537060

Filename

5537060