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Fuzzy Rule-based Expert Systems and Genetic Machine Learning

By (author) Andreas Geyer-Schulz





| book description |

This work presents fuzzy rule-languages as links between quantitative and qualitative models. In the first part, the semantic of fuzzy rule-languages is extended with a type system and an object-oriented system. In the second part, fuzzy rule-languages are integrated with genetic algorithms and with classifier systems. For this purpose, the class of genetic algorithms over context-free languages has been developed.

| product details |



Normally shipped | Enquiries only
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 1 Oct 1996
Language |
Format | Hardback
Pages | 452
Dimensions | 216 x 138 x 0mm (L x W x H)
Weight | 865g
ISBN | 978-3-7908-0964-0
Readership Age |
BISAC | computers / artificial intelligence

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