A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86081166" target="_blank" >RIV/61989100:27240/10:86081166 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSMC.2010.5642265" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2010.5642265</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSMC.2010.5642265" target="_blank" >10.1109/ICSMC.2010.5642265</a>
Alternative languages
Result language
angličtina
Original language name
A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks
Original language 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 anothervery 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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Conference on Systems, Man, and Cybernetics, SMC 2010 : conference proceedings
ISBN
978-1-4244-6588-0
ISSN
1062-922X
e-ISSN
—
Number of pages
7
Pages from-to
3166 - 3173
Publisher name
IEEE
Place of publication
345 E 47TH ST, NEW YORK, NY 10017 USA
Event location
Istanbul
Event date
Oct 10, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000295015303012