DocumentCode :
2300880
Title :
A model for neurocomputing
Author :
Basu, S.K. ; Sinha, Bhabani P.
Author_Institution :
Comput. Centre, Banaras Hindu Univ., Varanasi
fYear :
1990
fDate :
24-27 Sep 1990
Firstpage :
55
Abstract :
The authors propose a new model for neural computation based solely on a pattern recognition mechanism. By using pattern recognition as the basis of neurocomputing, the authors demonstrate that such a model can solve nonnumeric problems quickly, but it becomes very slow in solving numeric problems. Decisions in problem solving are also made through pattern matching. The outcome of matching is weighted to reflect appropriately the neurological basis. The complexity of computation is defined in terms of pattern matching operations
Keywords :
computational complexity; neural nets; pattern recognition; computational complexity; neurocomputing; nonnumeric problems; pattern matching; pattern recognition; problem solving; Animals; Animation; Biological neural networks; Biological system modeling; Brain modeling; Humans; Information processing; Neurons; Pattern matching; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Systems, 1990. IEEE TENCON'90., 1990 IEEE Region 10 Conference on
Print_ISBN :
0-87942-556-3
Type :
conf
DOI :
10.1109/TENCON.1990.152565
Filename :
152565
Link To Document :
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