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Incremental learning of temporal sequences using state memory and a resource allocating network

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2 Author(s)
Konishi, Y. ; Dept. of Comput. Eng., Aizu Univ., Japan ; Fujii, R.H.

A network, which can learn temporal patterns incrementally, is proposed. The network uses: a) Gaussian functions to represent various output values and b) chunking to group similar patterns so that a compact network can be realized. The learning capacity limits of the network are evaluated for the worst case sequences. Learning of sequences can be performed using a simple one step algorithm.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004