Title :
Nonlinear dynamics on VSF-network
Author :
Kakemoto, Yoshitsugu ; Nakasuka, Shinichi
Author_Institution :
Financial Planning Div., Japan Res. Inst., Ltd., Tokyo, Japan
fDate :
31 July-4 Aug. 2005
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;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1555945
