DocumentCode
772523
Title
Learning hardware using multiple-valued logic - Part 1: introduction and approach
Author
Perkowski, Marek ; Foote, David ; Chen, Qihong ; Al-Rabadi, Anas ; Jozwiak, Lech
Author_Institution
Portland State Univ., OR, USA
Volume
22
Issue
3
fYear
2002
Firstpage
41
Lastpage
51
Abstract
The authors propose a learning-hardware approach as a generalization of evolvable hardware. A massively parallel, reconfigurable processor speeds up logic operators performed in learning hardware. The approach uses combinatorial synthesis methods developed within the framework of the logic synthesis in digital-circuit-design automation
Keywords
genetic algorithms; learning systems; multivalued logic; parallel architectures; cube calculus machine; evolution-based learning; genetic algorithms; learning hardware; logic-synthesis algorithms; massively parallel processor; multiple-valued logic; Biological cells; Computer networks; Evolutionary computation; Field programmable gate arrays; Genetic algorithms; Genetic mutations; Hardware; Humans; Machine learning; Reconfigurable logic;
fLanguage
English
Journal_Title
Micro, IEEE
Publisher
ieee
ISSN
0272-1732
Type
jour
DOI
10.1109/MM.2002.1013303
Filename
1013303
Link To Document