A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Smart Innovation, Systems and Technologies. Volume 33

ISBN

978-81-322-2201-9

ISSN

2190-3018

e-ISSN

—

Počet stran výsledku

15

Strana od-do

525-539

Název nakladatele

Springer

Místo vydání

New Delhi

Místo konání akce

Sambalpur

Datum konání akce

20. 12. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—