Machine Learning for Model Order Reduction

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...

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Bibliographic Details
Main Author: Mohamed, Khaled Salah (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Subjects:
Electronic circuits.
Microprocessors.
Computer architecture.
Electronics.
Electronic Circuits and Systems.
Processor Architectures.
Electronics and Microelectronics, Instrumentation.
Online Access:Full-text access
Table of Contents:
  • 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.

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