Finding an Optimal Configuration of the Feed-forward Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86096915" target="_blank" >RIV/61989100:27240/16:86096915 - isvavai.cz</a>
Result on the web
<a href="http://ebooks.iospress.nl/publication/42082" target="_blank" >http://ebooks.iospress.nl/publication/42082</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-611-8-199" target="_blank" >10.3233/978-1-61499-611-8-199</a>

Result language
angličtina
Original language name
Finding an Optimal Configuration of the Feed-forward Neural Network
Original language description
In this paper we present an algorithm for finding an optimal configuration of the artificial neural network that is used for the classification in our use case based effort estimation tool. This approach is based on feed-forward artificial neural network and is trained using the back-propagation training algorithm. Our goal is to find the optimal number of hidden neurons and the optimal number of training iterations to be able to reach maximal accuracy of neural network during the estimations. We demonstrate the usage of the proposed algorithm and its result on the estimation example that contains training and testing datasets of UseCases obtained from real software project development
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Frontiers in Artificial Intelligence and Applications, vol. 292
ISBN
978-1-61499-719-1
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
199-206
Publisher name
IOS Press
Place of publication
Amsterodam
Event location
Tampere
Event date
Jun 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385790100017

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