Devendra K. Chaturvedi

Soft Computing

Techniques and its Applications in Electrical Engineering

• Broschiertes Buch

Produktbeschreibung

Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation. This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the pursuit of allied research.

The approach in this book is to provides an understanding of the soft computing field, to work through soft computing using examples, 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.

"I believe the chapters would help in understanding not only the basic issues and characteristic features of soft computing, but also the aforesaid problems of CTP and in formulating possible solutions. Dr. Chaturvedi deserves congratulations for bringing out the nice piece of work." Sankar K. Pal, Director Indian Statistical Institute

Produktdetails

• Studies in Computational Intelligence 103
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-09622-8
• Softcover reprint of hardcover 1st ed. 2008
• Seitenzahl: 636
• Erscheinungstermin: 20. November 2010
• Englisch
• Abmessung: 235mm x 155mm x 34mm
• Gewicht: 949g
• ISBN-13: 9783642096228
• ISBN-10: 3642096220
• Artikelnr.: 32057763

Inhaltsangabe

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.