Learning algorithms and implementation

Olga Krestinskaya, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


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
Number of pages12
Publication statusPublished - Jan 1 2020

Publication series

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


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