Analog Very Large Scale Integration (VLSI) Implementations of Artificial Neural Networks
Rept. for Oct 1991-Apr 1992
ROME LAB ROME NY
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There has been a recent resurgence of interest in the multi- disciplinary field of artificial neural networks. Artificial neural networks, originally inspired by the computational capabilities of the human brain, refer to a variety of computing architectures that consist of massively parallel interconnections of simple processing elements. Currently, there exist two promising advanced technologies for implementing neural networks Very Large Scale Integrated VLSI circuits and optical. This final technical report describes the utilization of VLSI circuits for implementing various neural networks, with an emphasis on analog VLSI. A comparison of the different implementation techniques is provided, as is the type of paradigm implemented e.g., backpropagation, hopfield, bidirectional associative memories, etc.. Artificial Neural Networks, Analog VLSI.
- Electrical and Electronic Equipment
- Computer Systems