Title :
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
fDate :
May 30 2010-June 2 2010
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;
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
DOI :
10.1109/ISCAS.2010.5537060
