Buch, Englisch, 612 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 949 g
Techniques and its Applications in Electrical Engineering
Buch, Englisch, 612 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 949 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-09622-8
Verlag: Springer
This 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 book is to provide an understanding of the soft computing field and to work through soft computing using examples. It 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Wirtschaftswissenschaften Wirtschaftswissenschaften Unternehmensgeschichte, Einzelne Branchen und Unternehmer
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
- Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
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.
