Towards Fuzzy Learning Classifier Systems: Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems - Peter Sincák - Livros - LAP LAMBERT Academic Publishing - 9783847311355 - 3 de fevereiro de 2012
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Towards Fuzzy Learning Classifier Systems: Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems

Peter Sincák

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Towards Fuzzy Learning Classifier Systems: Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems

This work aims to provide some new view on the learning of the rule-based systems and explore some possibilities of the autonomous processing of knowledge. Theoretical focus is given on the reinforcement learning, learning classifier systems and fuzzy logic. The second main part of the book proposes an application of the described theory as a new form of a learning rule-based system, suitable for solving tasks in the field of robotics or other problems, where a series of actions is being searched. The proposed approach is evaluated on a set of model problems. In the conclusion, weak sides and necessary improvements are discussed. The book aims to be a small step in the whole process of building an intelligent system - it puts together some ideas in hope that it will be inspiring for others to advance state the art a little more.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 3 de fevereiro de 2012
ISBN13 9783847311355
Editoras LAP LAMBERT Academic Publishing
Páginas 124
Dimensões 150 × 7 × 226 mm   ·   203 g
Idioma German  

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