Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

Compare the parameters extracted using Lambert function and genetic algorithm based on organic solar panels.

In this solar panel design parameters, using the Lambert function has been studied. With this function by using the experimental results, we investigated the effect of shadows And found that there is a shadow on a cell reduces the open circuit voltage and short circuit current increases. Interest and also reduces congestion and increases the saturation current of the first diode and the first diode parallel resistanceAnd the second diode is ideal factor And photo-current generated in the cell ...

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Remote classification of images using the new fuzzy clustering algorithm based on the weight

Remote classification of images using the new fuzzy clustering algorithm based on the weight

Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of NW-FCM models for high-dimensional multiclass pattern recognition problems and its result has been compared with the results of FCM, NFCC, and NW-FCM fuzzy clustering algorithm. The methodology used in NW-FCM is the concept of weighted mean from the ...

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Weighted triangular approximation of fuzzy by artificial bee colony algorithm

Weighted triangular approximation of fuzzy by artificial bee colony algorithm

In this paper , we obtain the nearest triangular approximation to a fuzzy quantity with weighted function by minimization distance between two fuzzy numbers gnisu yb artificial bee colony algorithm( ABC). I important advantage of the ABC method is that this method is capable of greatly reducing the size of computational work while still maintaining high accuracy of the numerical solution and increase Convergence rate . ...

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Adaptive magnitude spectrum algorithm for Hilbert–Huang transform based frequency identification

Adaptive magnitude spectrum algorithm for Hilbert–Huang transform based frequency identification

An innovative Hilbert ndash;Huang transform (HHT) based frequency identification approach designated as adaptive magnitude spectrum algorithm(AMSA) is proposed in this paper. Characterized by the a posteriori property, the AMSA does not need the a priori information about the modalfrequencies to be identified, and the situations that a modal frequency may be contained along specific segments of the whole time duration ofone or more intrinsic mode functions (IMFs) are allowed for automatically ...

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ترجمه مقاله A New Feature Selection Algorithm And Composite Neural Network For Electricity Price Forecasting

ترجمه مقاله A New Feature Selection Algorithm And Composite Neural Network For Electricity Price Forecasting

ترجمه مقاله سال 2012 با عنوان الگوریتم انتخاب ویژگی جدید و شبکه عصبی ترکیبی برای پیش بینی قیمت برق در این قسمت قرار داده شده است. در صورت نیاز به اصل مقاله قبل از خرید ترجمه می توانید نام مقاله را به آدرس [e-mail] ایمیل بزنید تا در اسرع وقت اصل مقاله برای شما ارسال گردد. در ...

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An Approach on Semi-Distributed Load Balancing Algorithm for Cloud Computing System

An Approach on Semi-Distributed Load Balancing Algorithm for Cloud Computing System

ABSTRACTCloud computing is deployed in the data centre where physical machine are virtualized. Cloud computing being the new technology has both advantages and disadvantages, one of the issues which cloud computing faces is load balancing. More than one virtual machine runs above the Virtualization. Load balancing in cloud computing is emerging topic which needs to be researched and study. The data centre is built with lots of systems where balancing is not an easy task especially for cloud ...

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