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contributor authorKachi, M.
contributor authorKubota, T.
contributor authorAonashi, K.
contributor authorUshio, T.
contributor authorShige, S.
contributor authorYamamoto, M.
contributor authorMega, T.
contributor authorOki, R.
date accessioned2020-03-12T21:33:43Z
date available2020-03-12T21:33:43Z
date issued2014
identifier other6947302.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1052884?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleRecent improvements in the global satellite mapping of precipitation (GSMaP)
typeConference Paper
contenttypeMetadata Only
identifier padid8183134
subject keywordsgenetic algorithms
subject keywordsn knowledge engineering
subject keywordsn profitability
subject keywordsn stock markets
subject keywordsn SET50
subject keywordsn Thailand
subject keywordsn average profit return
subject keywordsn constant parameters
subject keywordsn evolution strategy
subject keywordsn genetic algorithm
subject keywordsn hybrid evolutionary algorithm
subject keywordsn stock exchange
subject keywordsn trading rules
subject keywordsn evolution strategy
subject keywordsn evolutionary algorithm
subject keywordsn genetic algorithm
subject keywordsn stock exchange of Thailand
subject keywordsn trading rule
identifier doi10.1109/KST.2014.6775401
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize724111
citations0


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