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50篇 您的检索式:作者名="TSEKOURAS G"
    题名 作者 年代 出处 被引量
1A new approach for measuring the validity of the fuzzy c-means algorithm显示文摘Tsekouras G E Sarimveis H 2004Advances in Engineering Software2004,35,:1
2Abolished circadian rhythm of salivary cortisol in elite artistic gymnasts 显示文摘Georgopoulos N A Rottstein L Tsekouras A The- odoropoulou A Koukkou E Mylonas P Polykarpou G Lampropoulou E Iconomou G Legise M Va- genakis A G Markou K B 2011Steroids2011,76,5:1
3A pattern recognition methodology for evaluation of load profiles and typical days of large electricity customers显示文摘Tsekouras G J Kotoulas P B Tsirekis C D 2008Electric Power Systems Research2008,78,9:1
4A non-linear multivariable regression model for midterm energy forecasting of power systems显示文摘TSEKOURAS G J DIALYNAS E N HATZIARGYRIOU N D KAVATZA S 2007Electric Power Systems Research2007,77,12:1
5Developing learning networks显示文摘Bessant J Tsekouras G 2001AI andSociety2001,15,2:1
6A mobile agent platform for distributed network and systems management显示文摘Gavalas D Tsekouras G E Anagnostopoulos C 2009Journal of Systems and Software2009,82,2:1
7A hier- archical fuzzy-clustering approach to fuzzy modeling 显示文摘TSEKOURAS G SARIMVEIS H KAVAKLI E 2005Fuzzy Sets and Systems2005,150,2005:1
8A fast and efficient algorithm for training radial basis function neural networks based on a fuzzy partition of the input space显示文摘Sarimveis H Alexandridis A Tsekouras G 2002Industrial and Engineering Chemistry Research2002,41,5:1
9A new approach for measuring the validity of the fuzzy c-means algorithm显示文摘Tsekouras G E Sarimveis H 2004Advances in Engineering Software2004,35,89:1
10A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering 显示文摘TSEKOURAS G E 2013Neurocomputing2013,108,:1
11On training RBF neural networks using input-output fuzzy clustering and particle swarm optimization 显示文摘TSEKOURAS G E TSIMIKAS J 2013Fuzzy Sets and Systems2013,221,:1
12A hierarchical fuzzy clustering approach to fuzzy modeling显示文摘Tsekouras G 2005Fuzzy Sets and Systems2005,150,:1
13A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input- output fuzzy clustering 显示文摘Tsekouras G E 2013Neurocomputing2013,108,2:1
14A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach显示文摘Niros A D Tsekouras G E 2012Fuzzy Sets and Systems2012,193,:1
15A new approach for measuring the validity of the fuzzy c means algorithm显示文摘TSEKOURAS G E SARIMVEIS H 2004Advances in Engineering Software2004,35,89:1
16Optimal Operation of Ship Elec- trical Power System with Energy Storage System and Photo- voltaics: Analysis and Application显示文摘Tsekouras G J Kanellos F D 2013WSEAS Transactions on Power Systems2013,8,4:1
17Remarkable synergistic effects in a mixed porphyrin dye-sensitized TiO2 film显示文摘Griffith M J Mozer A J Tsekouras G 2011Appl Phys Lett2011,98,16:1
18A hierarchical fuzzyclustering approach to fuzzy modeling显示文摘Tsekouras G Sarimveis H Kavakli E 2005Fuzzy Sets and Systems2005,150,2:1
19A hierarchical fuzzy-clustering approach to fuzzy modeling显示文摘Tsekouras G Sarimveis H Kavakli E 2005Fuzzy Sets and Systems2005,150,:1
20A non-linear multivariable regression model for midterm energy forecasting of power systems显示文摘Tsekouras G J Dialynas E N Hatziargyriou N D 2007Electric Power Systems Research2007,77,12:1
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