Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Mixed signal neural circuits for shortest path computation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Shaikh-Husin, N. ; Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA ; Meador, J.L.

The objective of the graphical shortest path problem is to discover the least cost path in a weighted graph between a given source vertex and one or more destinations. This problem class has numerous practical applications including data network routing and speech recognition. This paper discusses the hardware realization of a recurrent spatiotemporal neural network for single source multiple-destination graphical shortest path problems. The network exhibits a regular interconnect structure and uses simple processing units in a combination which is well suited for VLSI implementation with a standard fabrication process.

Published in:

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on  (Volume:2 )

Date of Conference:

Oct. 30 1995-Nov. 1 1995