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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Detaylı Bibliyografya
Yazar: Mohamed, Khaled Salah (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Konular:
Electronic circuits.
Microprocessors.
Computer architecture.
Electronics.
Electronic Circuits and Systems.
Processor Architectures.
Electronics and Microelectronics, Instrumentation.
Online Erişim:Full-text access
İçindekiler:
  • 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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