Soft Computing Techniques and its Applications in Electrical Engineering /
Taking inspiration from the brain structure (neurons), linguistic rather than precise way of description by humans (not so cold, very warm), genetics and the behaviour of birds and ants in the nature, new techniques for the solution of various problems have been developed over the past three decades...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Σειρά: | Studies in Computational Intelligence,
103 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.