Classification and Learning Using Genetic Algorithms Applications in Bioinformatics and Web Intelligence /
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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Σειρά: | Natural Computing Series,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Genetic Algorithms
- Supervised Classification Using Genetic Algorithms
- Theoretical Analysis of the GA-classifier
- Variable String Lengths in GA-classifier
- Chromosome Differentiation in VGA-classifier
- Multiobjective VGA-classifier and Quantitative Indices
- Genetic Algorithms in Clustering
- Genetic Learning in Bioinformatics
- Genetic Algorithms and Web Intelligence.