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نمایش تعداد 1-10 از 883

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    Load forecast of a university building for application in microgrid power flow optimization 

    نوع: Conference Paper
    نویسنده : Gulin, M. , Vasak, M. , Banjac, G. , Tomisa, T.
    ناشر: IEEE
    سال: 2014

    Analysis and characterization of the reconstruction error in interferometric synthetic aperture imaging radiometers 

    نوع: Conference Paper
    نویسنده : Diez-Garcia, R. , Martin-Neira, M.
    ناشر: IEEE
    سال: 2014

    Implementation of ionospheric prediction algorithm based on huang hilbert transform 

    نوع: Conference Paper
    ناشر: IEEE
    سال: 2014

    Compromise between economic dispatching and improvement of voltage profile using PSO algorithm in ieee standard network 

    نوع: Conference Paper
    نویسنده : Hossein, Mansoori; Yadolah, Kheyraee; Masoud, Fatahi; Mohammad, Yousefinejad
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    APPLICATION OF ARTIFICIAL BEES COLONY ALGORITHM IN AN AUTOMATIC VOLTAGE REGULATOR (AVR) SYSTEM 

    نوع: Conference Paper
    نویسنده : Gozde, H; Taplamacioglu, M.C; Kocaarslan, I
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    Cloud Database Route Scheduling Using Heuristic Algorithm 

    نوع: Conference Paper
    نویسنده : Shabnam, ghasemi
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    Assessment on the effect of Optimally-Allocated Multi-type FACTS on Short Circuit Level, Voltage Stability and Voltage and Power Security 

    نوع: Conference Paper
    نویسنده : Hamid Reza, Baghaee; M, Mirsalim; G.B, Gharehpetian
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    Performance Analysis of PSO and GA Algorithms in Order to Classifying EEG Data 

    نوع: Journal Paper
    نویسنده : Masume Esmaeili; Morteza Zahedi; ناصر حافظی مطلق; Nasser Hafezi-Motlagh
    سال: 2015
    خلاصه:

    of

    such vectors, that have the best results in classification, should be probed. Toward this goal,

    two feature extraction methods, Particle Swarm Optimization (PSO) and Genetic Algorithm

    (GA), are applied. K-Nearest Neighbor (KNN...

    Swarm intelligence based classifiers 

    نوع: Journal Paper
    نویسنده : Seyed-Hamid Zahiri; سیدعلی رضا سیدین; Seyed Alireza Seyedin
    سال: 2007
    خلاصه:

    A proposed particle swarm classifier has been integrated with the concept of intelligently controlling the search process of PSO to develop an efficient swarm intelligence based classifier, which is called intelligent ...

    Crack Identification in Functionally Graded Beams Using Particle Swarm Optimization Algorithm and Artificial Neural Network 

    نوع: Conference Paper
    نویسنده : محمد حسین ابوالبشری; فواد نظری; Mohammad Hossein Abolbashari; Foad Nazari
    سال: 2013
    خلاصه:

    ) are designed for prediction of FGB\\\\\\\\\\\\\\'s Cracks\\\\\\\\\\\\\\' location and depth. Particle Swarm Optimization (PSO) and Back-Error Propagation (BEP) algorithms are applied for training ANNs. The accuracy of two training methods’ results...

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