Mining and Control of Network Traffic by Computational Intelligence

• Κύριοι συγγραφείς: Pouzols, Federico Montesino (Συγγραφέας), Lopez, Diego R. (Συγγραφέας), Barros, Angel Barriga (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Computational Intelligence, 342
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Electrical engineering.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Communications Engineering, Networks.; Information Systems Applications (incl. Internet).

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...

Πίνακας περιεχομένων:

• 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.