A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Algorithms; Benchmarking; E-learning; Knowledge acquisition; Learning systems; Pattern recognition; Bench-mark problems; Efficient learning; Extreme learning machine; Fuzzy ARTMAP; Generalization performance; Online learning; Online learning algorithms; Online sequential extreme learning machine; Le...

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Main Authors: Wong S.Y., Yap K.S., Yap H.J., Tan S.C.
Other Authors: 55812054100
Format: Article
Published: Springer New York LLC 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-222092023-05-29T13:59:38Z A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification Wong S.Y. Yap K.S. Yap H.J. Tan S.C. 55812054100 24448864400 35319362200 7403366395 Algorithms; Benchmarking; E-learning; Knowledge acquisition; Learning systems; Pattern recognition; Bench-mark problems; Efficient learning; Extreme learning machine; Fuzzy ARTMAP; Generalization performance; Online learning; Online learning algorithms; Online sequential extreme learning machine; Learning algorithms This paper presents a Hybrid Fuzzy ARTMAP (FAM) and Online Extreme learning machine (OELM), hereafter denoted as FAM-OELM, which enables online learning to start from the first trained data samples without having to set up an initialization phase which requires a chunk of data samples to be ready prior to training. The idea of developing FAM-OELM is motivated by the ELM concept proposed by Huang et al., for being an efficient learning algorithm that provides better generalization performance at a much faster learning speed. However, different from the batch learning ELM and its variant called the online sequential extreme learning machine which still requires an initial offline training phase before it can turn into online training, the proposed FAM-OELM showcases a framework that enable online learning to commence right from the first data sample. Here, classification can be conducted at any time during the training phase. Such appealing feature of the proposed algorithm has strictly fulfilled the criteria of being truly sequential, while many of the existing algorithms are not. In addition, FAM-OELM automatically grows hidden neuron such that the network can accommodate new information without over fitting and compromising on the knowledge learnt earlier. The simulation results reveal the efficacy and validity of FAM-OELM when it is applied to a real world application and various benchmark problems. � 2014, Springer Science+Business Media New York. Final 2023-05-29T05:59:38Z 2023-05-29T05:59:38Z 2015 Article 10.1007/s11063-014-9374-5 2-s2.0-84952987391 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952987391&doi=10.1007%2fs11063-014-9374-5&partnerID=40&md5=48ca321cf7d1e15ea841b91f8c0b448e https://irepository.uniten.edu.my/handle/123456789/22209 42 3 585 602 Springer New York LLC Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Algorithms; Benchmarking; E-learning; Knowledge acquisition; Learning systems; Pattern recognition; Bench-mark problems; Efficient learning; Extreme learning machine; Fuzzy ARTMAP; Generalization performance; Online learning; Online learning algorithms; Online sequential extreme learning machine; Learning algorithms
author2 55812054100
author_facet 55812054100
Wong S.Y.
Yap K.S.
Yap H.J.
Tan S.C.
format Article
author Wong S.Y.
Yap K.S.
Yap H.J.
Tan S.C.
spellingShingle Wong S.Y.
Yap K.S.
Yap H.J.
Tan S.C.
A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
author_sort Wong S.Y.
title A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
title_short A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
title_full A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
title_fullStr A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
title_full_unstemmed A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
title_sort truly online learning algorithm using hybrid fuzzy artmap and online extreme learning machine for pattern classification
publisher Springer New York LLC
publishDate 2023
_version_ 1806426068944420864