Titlebook: Complex System Modelling and Control Through Intelligent Soft Computations; Quanmin Zhu,Ahmad Taher Azar Book 2015 Springer International

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Andreas Kr?mer,Regine Kalka,Wolfgang Merkleiterative dual rational Krylov is low in cost, numerically efficient but the stability of reduced linear switched system is not always guaranteed. In the second part, the iterative SVD-Dual Rational Krylov approach is presented. This method is a combining of two sided-projections, one side is genera

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Andreas Kr?mer,Regine Kalka,Wolfgang Merklesynthetic and measured data sets, showing them to have similar statistical characteristics. The focus of the second part of this work is to develop a neural networks based?energy management algorithm coupled with the fuzzy model to correctly size a residential photovoltaic plant evaluating the econo

plasma

Stammkundenbindung versus Neukundengewinnungas optimal performance. This method contains a Multi-Layer Perceptron (MLP) Neural Network (NN) (MLPNN) and a Fuzzy Rule extraction from a Trained Artificial Neural Network using Genetic Algorithm (FRENGA). Proposed Hybrid method recognizes disturbance wind with sensors and it generates desired pitc

Anthology

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Book 2015anagement, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control..

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upstart

Modeling, Identification and Control of Irrigation Station with Sprinkling: Takagi-Sugeno Approach,e clustering technique is one of the best solutions. In this paper, we’ll model the irrigation station with the T-S algorithm and use the fuzzy c-means (FCM) algorithm and present the results of simulation and some validation tests and we present the stability of T-S irrigation station model.

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