On the artificial neural networks used for the forward problem for the electrical impedance equation

V. Ponomaryov, T. M.P. Ramirez, G. C.M.A. Robles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To achieve a recognition of a solution for the forward value problem of the electrical impedance equation, two different artificial neural networks are used and compared: The multilayer perceptron and the backpropagation neural networks.

Original languageEnglish
Title of host publicationWCECS 2015 - World Congress on Engineering and Computer Science 2015
EditorsCraig Douglas, S. I. Ao, Jon Burgstone, Jon Burgstone, Craig Douglas, Warren S. Grundfest
PublisherNewswood Limited
Pages86-91
Number of pages6
ISBN (Electronic)9789881925367
StatePublished - 2015
Event2015 World Congress on Engineering and Computer Science, WCECS 2015 - San Francisco, United States
Duration: 21 Oct 201523 Oct 2015

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2219
ISSN (Print)2078-0958

Conference

Conference2015 World Congress on Engineering and Computer Science, WCECS 2015
Country/TerritoryUnited States
CitySan Francisco
Period21/10/1523/10/15

Keywords

  • Artificial neural network
  • Backpropagation
  • Electrical impedance equation
  • Multilayer perceptron

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