Virtual neurocomputer architectures for neural networks

Details Virtual neurocomputer architectures for neural networks Virtual neurocomputer architectures for neural networks

1991-05-17

1993-09-07

MacDonald, Allen R.

G06F 1518

Patent

active

052436888

ABSTRACT:
The architectures for a scalable neural processor (SNAP) and a Triangular Scalable Neural Array Processor (T-SNAP) are expanded to handle network simulations where the number of neurons to be modeled exceeds the number of physical neurons implemented. This virtual neural processing is described for three general virtual architectural approaches for handling the virtual neurons, one for SNAP and one for TSNAP, and a third approach applied to both SNAP and TSNAP.

REFERENCES:
A General Purpose Digital Architecture for Neural Network Simulations; Duranton et al.; First IEE International Conference on Artificial Neural Networks; Oct. 16-18, 1989; pp. 62-66.
Design of Parallel Hardward Neural Network Systems . . . Eberhardt et al; IJCNN; vol. 2 Jun. 18-22, 1989 pp. II-183-190.
Implementing Neural Nets with Programmable Logic; Vidal IEEE Trans. on Acoustics . . . vol. 36 No. 7, Jul. 1988 pp. 1180-1190.

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