Fuzzy systems in bioinformatics and computational biology
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edition: | 1st ed. 2009. |
| Series: | Studies in Fuzziness and Soft Computing
242 |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy systems in bioinformatics and computational biology, Yaochu Jin and Lipo Wang, Berlin, Springer, 2009, 1 vol. (XVI-330 p.), Studies in fuzziness and soft computing, 978-3-540-89967-9 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783540899693 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783642100680 • Fuzzy systems in bioinformatics and computational biology, Yaochu Jin and Lipo Wang, Berlin, Springer, 2009, 1 vol. (XVI-330 p.), Studies in fuzziness and soft computing, 978-3-540-89967-9 • Fuzzy Systems in Bioinformatics and Computational Biology, Texte imprimé, 9783662601822 |