DocumentCode
274182
Title
Stochastic searching networks
Author
Bishop, J.M.
Author_Institution
Reading Univ., UK
fYear
1989
fDate
16-18 Oct 1989
Firstpage
329
Lastpage
331
Abstract
A fundamental difficulty when using neural networks applied to problems of pattern recognition is that of stimulus equivalence: the ability to classify a pattern, independent of position, rotation or scale, within the search space. The paper describes how a network of stochastic cells can be used to find an efficient solution to such problems
Keywords
neural nets; pattern recognition; search problems; neural networks; pattern recognition; search space; stimulus equivalence; stochastic searching networks;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
Conference_Location
London
Type
conf
Filename
51986
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