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Soft Computing Techniques and its Applications in Electrical Engineering Pdf

Download soft computing and its applications pdf book with a stuvera membership plan together with 100s of other computer engineering books for less than the price of one.soft computing techniques and its applications in electrical engineering by devendra k. chaturvedi book is a perfect computer engineering book for students and computer engineering practitioners. Thesoft computing techniques and its applications in electrical engineering book is suitable for anyone who wish to stay abreast of recent researches and findings in computer engineering studies. The soft computing applications pdf is one of the quality books you can read to learn more about computer engineering.

About The soft computing techniques and its applications in electrical engineering pdf Book

This soft computing techniques and its applications in electrical engineering book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this journal of soft computing applications pdf book is to provide an understanding of the soft computing field and to work through soft computing using examples. This soft computing techniques and its applications in electrical engineering by devendra k. chaturvedi book also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

Table of Contents of Soft Computing and its Applications Pdf Book

to Soft Computing.- Life History of Brain.- Artificial Neural Network and Supervised Learning.- Factors Affecting the Performance of Artificial Neural Network Models.- Development of Generalized Neuron and Its Validation.- Applications of Generalized Neuron Models.- to Fuzzy Set Theoretic Approach.- Applications of Fuzzy Rule Based System.- Genetic Algorithms.- Applications of Genetic Algorithms to Load Forecasting Problem.- Synergism of Genetic Algorithms and Fuzzy Systems for Power System Applications.- Integration of Neural Networks and Fuzzy Systems.- ANN – GA-Fuzzy Synergism and Its Applications.

 

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