Machine Learning for Model Order Reduction

• Κύριος συγγραφέας: Mohamed, Khaled Salah (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Electronic circuits.; Microprocessors.; Electronics.; Microelectronics.; Circuits and Systems.; Processor Architectures.; Electronics and Microelectronics, Instrumentation.

This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior. The author describes techniques to reduce significantly the time required for simulations involving...

Πίνακας περιεχομένων:

• Chapter1: Introduction
• Chapter2: Bio-Inspired Machine Learning Algorithm: Genetic Algorithm
• Chapter3: Thermo-Inspired Machine Learning Algorithm: Simulated Annealing
• Chapter4: Nature-Inspired Machine Learning Algorithm: Particle Swarm Optimization, Artificial Bee Colony
• Chapter5: Control-Inspired Machine Learning Algorithm: Fuzzy Logic Optimization
• Chapter6: Brain-Inspired Machine Learning Algorithm: Neural Network Optimization
• Chapter7: Comparisons, Hybrid Solutions, Hardware architectures and New Directions
• Chapter8: Conclusions.