Dynamics of Incremental Learning by VSF-Network

Authors:
Yoshitsugu Kakemoto;Shinchi Nakasuka
Affiliations:
Harumi Center Building, The JSOL, Ltd, Tokyo, Japan;The University of Tokyo, Tokyo, Japan
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

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Abstract

In this paper, we report the dynamics of VSF-Network. VSF-Network is a neural network for the incremental learning and it is a hybrid neural network combining the chaos neural network with a hierarchical network. VSF-Network can find the unknown elements from input with clusters generated by the chaos neuron. We introduce new incremental learning model to explain the dynamics of VSF-Network in this paper. We show the result of analysis of the dynamics of VSF-Network. In the analysis, we focused on the connection weights between layers and neuron cluster generated by the chaotic behavior.