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Load Value Approximation

contributor authorSan Miguel, J.
contributor authorBadr, M.
contributor authorJerger, N.E.
date accessioned2020-03-12T22:28:23Z
date available2020-03-12T22:28:23Z
date issued2014
identifier other7011383.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1084205?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleLoad Value Approximation
typeConference Paper
contenttypeMetadata Only
identifier padid8221460
subject keywordsevolutionary computation
subject keywordsn learning (artificial intelligence)
subject keywordsn pattern classification
subject keywordsn NEVE++
subject keywordsn QIEA
subject keywordsn adaptive learning
subject keywordsn neuro-evolutionary classifiers
subject keywordsn neuro-evolutionary unlimited ensemble
subject keywordsn quantum-inspired evolutionary algorithm
subject keywordsn Accuracy
subject keywordsn Classification algorithms
subject keywordsn Data models
subject keywordsn Evolutionary computation
subject keywordsn Heuristic algorithms
subject keywordsn Neural networks
subject keywordsn Training
subject keywordsn Adaptive Learning
subject keywordsn Concept Drift
subject keywordsn Neuro-Evolutionary Ensemble
subject keywordsn Nonst
identifier doi10.1109/IJCNN.2014.6889820
journal titleicroarchitecture (MICRO), 2014 47th Annual IEEE/ACM International Symposium on
filesize1412385
citations1


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