A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097032" target="_blank" >RIV/61989100:27240/15:86097032 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-81-322-2208-8_48" target="_blank" >http://dx.doi.org/10.1007/978-81-322-2208-8_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-81-322-2208-8_48" target="_blank" >10.1007/978-81-322-2208-8_48</a>
Alternative languages
Result language
angličtina
Original language name
A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification
Original language description
The Harmony Search (HS) algorithm is meta-heuristic optimization inspired by natural phenomena called musical process and it quite simple due to few mathematical requirements and simple steps as compared to earlier meta-heuristic optimization algorithms.It mimics the local and global search procedure of pitch adjustment during production of pleasant harmony by musicians. Although HS has been used in many application like vehicle routing problems, robotics, power and energy etc., in this paper, an attempt is made to design a hybrid FLANN with Harmony Search based Gradient Descent Learning for classification. The proposed algorithm has been compared with FLANN, GA based FLANN and PSO based FLANN classifier to get remarkable performance. All the four classifier are implemented in MATLAB and tested by couples of benchmark datasets from UCI machine learning repository. Finally, to get generalized performance, 5 fold cross validation is adopted and result are analyzed under one-way ANOVA te
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Smart Innovation, Systems and Technologies. Volume 33
ISBN
978-81-322-2201-9
ISSN
2190-3018
e-ISSN
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Number of pages
15
Pages from-to
525-539
Publisher name
Springer
Place of publication
New Delhi
Event location
Sambalpur
Event date
Dec 20, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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