نتایج جستجو برای: clustring and gravitational search algorithm

تعداد نتایج: 16941793  

ده‌باشیان, مریم , ظهیری , سیدحمید,

Image compression is one of the important research fields in image processing. Up to now, different methods are presented for image compression. Neural network is one of these methods that has represented its good performance in many applications. The usual method in training of neural networks is error back propagation method that its drawbacks are late convergence and stopping in points of lo...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده ریاضی و کامپیوتر 1392

به کمک روش های عددی، برآورد نقطه تغییر در میانگین فرآیند نرمال با بیشینه سازی تابع درستنمایی و کمینه سازی تابع اطلاع شوارتز بدست می آید. در این پژوهش روش عددی نوینی برای این برآورد به عنوان روش بهینه سازی الگوریتم جست وجوی گرانشی مورد بررسی قرار می گیرد. نتایج شبیه سازی حاکی از آن است که روش عددی مورد بررسی در برآورد نقطه تغییر دارای عملکرد نسبتاً مناسبی نسبت به روش های پیشین می باشد.

The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...

Amin Rastegar Pour, Hassan Barati,

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...

Journal: :international journal of smart electrical engineering 2014
a. r moradi y alinejad beromi k kiani z moravej

protection systems have vital role in network reliability in short circuit mode and proper operating for relays. current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. therefore, proper and quick identification of current transformer saturation is so important. in this paper, an artificial neural network...

Induction motors are so important in industry, so their protection and maintenance seem a vital issue. Continuous control of structural parameter of such motors is the way that can protect them. Appearance of a small problem in motor can change the value of structural parameter of    squirrel cage induction motor, such as; resistances of stator and rotor, inductances of stator an...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده فنی 1390

توان دریافتی از سلول های خورشیدی به دلیل دارا بودن ماهیت غیر خطی و متغیر با زمان، دست خوش تغییرات بوده که به شدت به عواملی همچون تغییرات دما، تابش و میزان بار متصل به سلول بستگی دارد. بنابراین در افزایش راندمان این سیستم ها، ردیابی نقطه حداکثر توان (mppt) ، نقش مهم و کلیدی را ایفا می کند. طراحان جهت ردیابی نقطه ماکزیمم توان در آرایه های خورشیدی از مبدل های dc به dc که یک مدار الکترونیکی ساده بو...

M.R. Hosseinzadeh Moghaddam S. Javad Mirabedini T. banirostam

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

Wind Power generation integrated in electrical power system can cause of variation and uncertainty which must be considered in process of generation expansion planning (GEP). The goal of this study is to model the GEP problem integrated with wind power generation and introduce the fuzzy-probability model to consider variation and uncertainty of wind power generation. To verify and optimize the ...

M.R. Hosseinzadeh Moghaddam S. Javad Mirabedini T. banirostam

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

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