Runtime adaptation of technical systems

An architectural framework for self-configuration and self-improvement at runtime

Autori

• Sven Tomforde

Parametri

• 356 pagine
• 13 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

Focusing on a novel system design approach, this book presents a framework that enables self-configuration and self-improvement for parametrisable systems during runtime, enhancing their adaptivity and robustness. It explores the integration of machine learning techniques, specifically two innovative variants of Learning Classifier Systems and Fuzzy Classifier Systems, to manage self-improvement tasks. Real-world applications in areas such as vehicular traffic, data communication, and function approximation are utilized to evaluate the framework's effectiveness.

Lingua: Inglese

Pubblicato: 2012

(In brossura)