Recent improvements in the global satellite mapping of precipitation (GSMaP)
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سال
: 2014شناسه الکترونیک: 10.1109/KST.2014.6775401
کلیدواژه(گان): genetic algorithms,n knowledge engineering,n profitability,n stock markets,n SET50,n Thailand,n average profit return,n constant parameters,n evolution strategy,n genetic algorithm,n hybrid evolutionary algorithm,n stock exchange,n trading rules,n evolution strategy,n evolutionary algorithm,n genetic algorithm,n stock exchange of Thailand,n trading rule
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Recent improvements in the global satellite mapping of precipitation (GSMaP)
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contributor author | Kachi, M. | |
contributor author | Kubota, T. | |
contributor author | Aonashi, K. | |
contributor author | Ushio, T. | |
contributor author | Shige, S. | |
contributor author | Yamamoto, M. | |
contributor author | Mega, T. | |
contributor author | Oki, R. | |
date accessioned | 2020-03-12T21:33:43Z | |
date available | 2020-03-12T21:33:43Z | |
date issued | 2014 | |
identifier other | 6947302.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1052884 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Recent improvements in the global satellite mapping of precipitation (GSMaP) | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8183134 | |
subject keywords | genetic algorithms | |
subject keywords | n knowledge engineering | |
subject keywords | n profitability | |
subject keywords | n stock markets | |
subject keywords | n SET50 | |
subject keywords | n Thailand | |
subject keywords | n average profit return | |
subject keywords | n constant parameters | |
subject keywords | n evolution strategy | |
subject keywords | n genetic algorithm | |
subject keywords | n hybrid evolutionary algorithm | |
subject keywords | n stock exchange | |
subject keywords | n trading rules | |
subject keywords | n evolution strategy | |
subject keywords | n evolutionary algorithm | |
subject keywords | n genetic algorithm | |
subject keywords | n stock exchange of Thailand | |
subject keywords | n trading rule | |
identifier doi | 10.1109/KST.2014.6775401 | |
journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
filesize | 724111 | |
citations | 0 |