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ON THE ASYMPTOTIC PROPERTIES OF RECURRENT NEURAL NETWORKS FOR OPTIMIZATION

Author:
JUN WANG
Year
: 1991
DOI: 10.1142/S0218001491000338
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/376300
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    ON THE ASYMPTOTIC PROPERTIES OF RECURRENT NEURAL NETWORKS FOR OPTIMIZATION

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contributor authorJUN WANG
date accessioned2020-03-11T01:48:47Z
date available2020-03-11T01:48:47Z
date issued1991
identifier otheroBv0TutupoOTTWC7Px1w1sfg7NrjtW0KRlDJqYC2qsgHVmLMNA.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/376300?locale-attribute=en
formatgeneral
languageEnglish
titleON THE ASYMPTOTIC PROPERTIES OF RECURRENT NEURAL NETWORKS FOR OPTIMIZATION
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid2420417
identifier doi10.1142/S0218001491000338
journal titleInternational Journal of Pattern Recognition and Artificial Intelligence
coverageAcademic
pages581-601
journal volume05
journal issue04
filesize795027
citations1
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