DocumentCode :
2997611
Title :
Stability of threshold learning
Author :
Sklansky, J.
Author_Institution :
University of California, Irvine, California
fYear :
1971
fDate :
15-17 Dec. 1971
Firstpage :
348
Lastpage :
350
Abstract :
Significant similarities exist among models of simple human learning and trainable pattern classifiers. Such similarities have recently been demonstrated quantitatively in the case of human auditory signal detection and the author\´s "threshold learning process" [1]. This leads us to hope that the development of techniques for designing training procedures for threshold learning processes and pattern classifiers will be transferrable to the design of training procedures for human perception.
Keywords :
Asymptotic stability; Equations; Humans; Multidimensional systems; Nonlinear control systems; Signal detection; Signal processing; Stability analysis; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1971 IEEE Conference on
Conference_Location :
Miami Beach, FL, USA
Type :
conf
DOI :
10.1109/CDC.1971.271011
Filename :
4044772
Link To Document :
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