Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Year: 2009  |  Volume: 72  |  Issue: 4-6  |  Page No.: 732 - 742

Using a genetic algorithm to investigate efficient connectivity in associative memories

Rod Adams, Lee Calcraft and Neil Davey    

Abstract: We investigate sparse networks of threshold units, trained with the perceptron learning rule to act as associative memories. The units have position and are placed in a ring so that the wiring cost is a meaningful measure. A genetic algorithm is used to evolve networks that have efficient wiring, but also good functionality. It is shown that this is possible, and that the connection strategy used by the networks appears to maintain some connectivity at all distances, but with the probability of a connection decreasing rapidly with distance.

View Fulltext    |   Related Articles   |   Back
  Related Articles

Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility