Imposing a temporal structure in neural networks

Lalit Gupta; Mohammed R. Sayeh; Anand M. Upadhye

doi:10.1117/12.25820

1 March 1991 Imposing a temporal structure in neural networks

Lalit Gupta, Mohammed R. Sayeh, Anand M. Upadhye

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25820
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

Abstract

Although neural networks are very effective pattern classifiers a major limitation is that they are not suitable for classifying patterns with Inherent time-variations. This paper describes an approach to incorporate a temporal structure in a neural network system which wifi accomodate the time variations in local feature sets encountered in problems such as partial shape classification. 1.

Citation Download Citation

Lalit Gupta, Mohammed R. Sayeh, and Anand M. Upadhye "Imposing a temporal structure in neural networks", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25820

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