Knowledge-based neurocomputing : a fuzzy logic approach
In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Studies in Fuzziness and Soft Computing
234 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Knowledge-Based Neurocomputing: A Fuzzy Logic Approach, Texte imprimé, 9783540880769 • Knowledge-Based Neurocomputing: A Fuzzy Logic Approach, Texte imprimé, 9783642099854 • Knowledge-Based Neurocomputing: A Fuzzy Logic Approach, Texte imprimé, 9783540881759 |
Obsah:
- The FARB The FARB ANN Equivalence Rule Simplification Knowledge Extraction Using the FARB Knowledge-Based Design of ANNs Conclusions and Future Research