1 March 1991 Imposing a temporal structure in neural networks
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lalit Gupta, Mohammed R. Sayeh, 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); doi: 10.1117/12.25820; https://doi.org/10.1117/12.25820
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