1 March 1991 Linear interconnection architecture in parallel implementation of neural network models
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Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.47757
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States
Abstract
An architecture for VLSI/ULSI implementation of neural network models is presented. The architecture is of the linear and systolic type and can easily be expanded to a larger network size with more processing elements per layer and/or more layers per network model. The weights in this architecture are fully adjustable. The weights must be pre-computed with the help of a host computer and downloaded to the system as a preinitialized process. This architecture is basically suitable for feed forward neural network architecture. 1.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Taghi Mostafavi, M. Taghi Mostafavi, } "Linear interconnection architecture in parallel implementation of neural network models", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.47757; https://doi.org/10.1117/12.47757
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