About: A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving multi-dimensional, linear and nonlinear optimization problems with appreciable efficiency. In this article a modified version of IWO has been used for training the feed-forward Artificial Neural Networks (ANNs) by adjusting the weights and biases of the neural network. It has been found that modified IWO performs better than another very competitive real parameter optimizer called Differential Evolution (DE) and a few classical gradient-based optimization algorithms in context to the weight training of feed-forward ANNs in terms of learning rate and solution quality. Moreover, IWO can also be used in validation of reached optima and in the development of regularization terms and non-conventional transfer functions that do not necessarily provide gradient information
  • Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving multi-dimensional, linear and nonlinear optimization problems with appreciable efficiency. In this article a modified version of IWO has been used for training the feed-forward Artificial Neural Networks (ANNs) by adjusting the weights and biases of the neural network. It has been found that modified IWO performs better than another very competitive real parameter optimizer called Differential Evolution (DE) and a few classical gradient-based optimization algorithms in context to the weight training of feed-forward ANNs in terms of learning rate and solution quality. Moreover, IWO can also be used in validation of reached optima and in the development of regularization terms and non-conventional transfer functions that do not necessarily provide gradient information (en)
Title
  • A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks
  • A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks (en)
skos:prefLabel
  • A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks
  • A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks (en)
skos:notation
  • RIV/61989100:27240/10:86081166!RIV12-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 244696
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/10:86081166
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • back-propagation; classification; feed-forward neural networks; differential evolution; invasive weed optimization; metaheuristics (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D8BCCAF9750C]
http://linked.open...v/mistoKonaniAkce
  • Istanbul
http://linked.open...i/riv/mistoVydani
  • 345 E 47TH ST, NEW YORK, NY 10017 USA
http://linked.open...i/riv/nazevZdroje
  • IEEE International Conference on Systems, Man, and Cybernetics, SMC 2010 : conference proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Abraham Padath, Ajith
  • Das, Swagatam
  • Snášel, Václav
  • Chowdhury, Aritra
  • Ghosh, Arnob
  • Giri, Ritwik
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000295015303012
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1062-922X
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICSMC.2010.5642265
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-6588-0
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software