Accession Number:

ADA256621

Title:

Analog Very Large Scale Integration (VLSI) Implementations of Artificial Neural Networks

Descriptive Note:

Rept. for Oct 1991-Apr 1992

Corporate Author:

ROME LAB ROME NY

Personal Author(s):

Report Date:

1992-09-01

Pagination or Media Count:

38.0

Abstract:

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.

Subject Categories:

  • Electrical and Electronic Equipment
  • Computer Systems
  • Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE