Mining and Control of Network Traffic by Computational Intelligence
As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled h...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2011. |
| Col·lecció: | Studies in Computational Intelligence
342 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mining and Control of Network Traffic by Computational Intelligence, Federico Montesino Pouzols, Diego R. Lopez and Angel Barriga Barros, Berlin, Heidelberg, Springer, 2011, 1 vol. (XVI-309 p.), Studies in Computational Intelligence, 978-3-642-18083-5 |
Taula de continguts:
- Internet Science Modeling time series by means of fuzzy inference systems Predictive models of network traffic load Summarization and analysis of network traffic flow records Inference Systems for Network Traffic Control Open FPGA-Based Development Platform for Fuzzy Inference Systems