Learning algorithms and implementation

Olga Krestinskaya, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter provides a brief overview of learning algorithms and their implementations on hardware. We focus on memristor based systems for leaning, as this is one of the most promising solutions to implement deep neural network on hardware, due to the small on-chip area and low power consumption.

Original languageEnglish
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Pages91-102
Number of pages12
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameModeling and Optimization in Science and Technologies
Volume14
ISSN (Print)2196-7326
ISSN (Electronic)2196-7334

Fingerprint

Learning algorithms
Learning Algorithm
Learning
Hardware
Memristors
Power Consumption
Electric power utilization
Chip
Neural Networks
Power (Psychology)
Deep neural networks

ASJC Scopus subject areas

  • Modelling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

Cite this

Krestinskaya, O., & James Pappachen, A. (2020). Learning algorithms and implementation. In Modeling and Optimization in Science and Technologies (pp. 91-102). (Modeling and Optimization in Science and Technologies; Vol. 14). Springer Verlag. https://doi.org/10.1007/978-3-030-14524-8_7

Learning algorithms and implementation. / Krestinskaya, Olga; James Pappachen, Alex.

Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. p. 91-102 (Modeling and Optimization in Science and Technologies; Vol. 14).

Research output: Chapter in Book/Report/Conference proceedingChapter

Krestinskaya, O & James Pappachen, A 2020, Learning algorithms and implementation. in Modeling and Optimization in Science and Technologies. Modeling and Optimization in Science and Technologies, vol. 14, Springer Verlag, pp. 91-102. https://doi.org/10.1007/978-3-030-14524-8_7
Krestinskaya O, James Pappachen A. Learning algorithms and implementation. In Modeling and Optimization in Science and Technologies. Springer Verlag. 2020. p. 91-102. (Modeling and Optimization in Science and Technologies). https://doi.org/10.1007/978-3-030-14524-8_7
Krestinskaya, Olga ; James Pappachen, Alex. / Learning algorithms and implementation. Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. pp. 91-102 (Modeling and Optimization in Science and Technologies).
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