Nonlinear dynamics on VSF-network

Author

Kakemoto, Yoshitsugu ; Nakasuka, Shinichi

Author_Institution

Financial Planning Div., Japan Res. Inst., Ltd., Tokyo, Japan

Volume

2

fYear

2005

fDate

31 July-4 Aug. 2005

Firstpage

747

Abstract

In this paper, dynamics of VSF-network (vibration synchronizing function network) is investigated. VSF-network is a model of neural networks that segments information from external world and fixes the segmented information. VSF-network is a hybrid neural network, and the chaos neuron is used for the hidden layer of it. VSF-network articulates information with the neuron cluster generated by the synchronizing vibration that the chaos neuron in hidden layer shows. We analyze the dynamics of generating the neuron cluster. Factors affecting cluster generation are investigated. The stability and the bifurcation of the neuron cluster and factors affecting cluster generation are investigated.

Keywords

bifurcation; chaos; multilayer perceptrons; stability; bifurcation; chaos neuron; neural networks; nonlinear dynamics; stability; vibration synchronizing function network; Bifurcation; Chaos; Data mining; Financial management; Human robot interaction; Multi-layer neural network; Neural networks; Neurons; Pattern matching; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on

Print_ISBN

0-7803-9048-2

Type

conf

DOI

10.1109/IJCNN.2005.1555945

Filename

1555945