Paper Info
Title
Performance of connectionist learning algorithms on 2-D SIMD processor arrays
Abstract
The mapping of the back-propagation and mean field theory learning algorithms onto a generic 2-D SIMD computer is described. This architecture proves to be very adequate for these applications since efficiencies close to the optimum can be attained. Expressions to find the learning rates are given and then particularized to the DAP array procesor.
Year
Venue
Keywords
1989
Advances in neural information processing systems 2
2-d simd processor array
Field
DocType
ISBN
Architecture,Expression (mathematics),Computer science,Parallel computing,Algorithm,Simd computer,Artificial intelligence,Connectionism,Simd processor,Machine learning
Conference
1-55860-100-7
Citations 
PageRank 
References 
5
1.18
4
Authors
2
Name
Order
Citations
PageRank
Fernando J. Núñez151.18
Jose A. B. Fortes244652.01