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Generalized Nets in Artificial Intelligence. Volume 2: Generalized Nets and Machine Learning
(Redirected from Generalized nets and machine learning)
Generalized Nets in Artificial Intelligence. Volume 2: Generalized Nets and Machine Learning is a book by Krassimir Atanassov and Hristo Aladjov, published in 2000 by "Prof. Marin Drinov" Publishing house of the Bulgarian Academy of Sciences, under ISBN 954-430-772-9.
Table of contents
- Preface
- Chapter 1: Generalized net for machine learning
- Chapter 2: Generalized net for artificial neural networks learning
- Chapter 3: Generalized net for genetic algorithms learning
- Chapter 4: Generalized net realization of a combinatorial game-method for modelling and its learning
- Chapter 5: Generalized net for intellectual games learning
- Chapter 6: Generalized net model of a new type of expert systems and machine learning of this model
- Chapter 7: Generalized net describing learning of a generalized net and of an intuitionistic fuzzy generalized net
- Chapter 8: Generalized net for machine learning of intuitionistic fuzzy abstract systems
- Chapter 9: Generalized net models of special abstract processes
- Appendix 1: Short remarks on generalized nets
- Appendix 2: Short remarks on intuitionistic fuzzy sets
- Bibliography
- List of figures
See also
- Generalized Nets in Artificial Intelligence. Volume 1: Generalized Nets and Expert Systems
- Generalized Nets in Artificial Intelligence. Volume 3: Generalized Nets, Relation Databases and Expert Systems
- Generalized Nets in Artificial Intelligence. Volume 4: Generalized Nets, Uncertain Data and Knowledge Engineering