Improved kernel learning using smoothing parameter based linear kernel

Authors:
A. B. M. Shawkat Ali;Ajith Abraham
Affiliations:
School of Computing and Information Technology, Monash University, Victoria, Australia;Department of Computer Science, Oklahoma State University, Tulsa, OK
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

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Abstract

This article introduces a neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [2], this architecture allows an autonomous robot to learn how to imitate a sequence of movements with the correct timing. The results show that the network model is fast, accurate and robust.