Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning

Extreme learning machine (ELM) is emerged as an effective, fast, and simple solution for real-valued classification problems. Various variants of ELM were recently proposed to enhance the performance of ELM. Circular complex-valued extreme learning machine (CC-ELM), a variant of ELM, exploits the ca...

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Main Authors: Sanyam Shukla, Ram Narayan Yadav
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7349136/
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author Sanyam Shukla
Ram Narayan Yadav
author_facet Sanyam Shukla
Ram Narayan Yadav
author_sort Sanyam Shukla
collection DOAJ
description Extreme learning machine (ELM) is emerged as an effective, fast, and simple solution for real-valued classification problems. Various variants of ELM were recently proposed to enhance the performance of ELM. Circular complex-valued extreme learning machine (CC-ELM), a variant of ELM, exploits the capabilities of complex-valued neuron to achieve better performance. Another variant of ELM, weighted ELM (WELM) handles the class imbalance problem by minimizing a weighted least squares error along with regularization. In this paper, a regularized weighted CC-ELM (RWCC-ELM) is proposed, which incorporates the strength of both CC-ELM and WELM. Proposed RWCC-ELM is evaluated using imbalanced data sets taken from Keel repository. RWCC-ELM outperforms CC-ELM and WELM for most of the evaluated data sets.
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spelling doaj.art-ea43a48800a14fb1914ab743a4b01c492022-12-21T23:44:13ZengIEEEIEEE Access2169-35362015-01-0133048305710.1109/ACCESS.2015.25066017349136Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced LearningSanyam Shukla0Ram Narayan Yadav1Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, IndiaDepartment of Electronics and Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, IndiaExtreme learning machine (ELM) is emerged as an effective, fast, and simple solution for real-valued classification problems. Various variants of ELM were recently proposed to enhance the performance of ELM. Circular complex-valued extreme learning machine (CC-ELM), a variant of ELM, exploits the capabilities of complex-valued neuron to achieve better performance. Another variant of ELM, weighted ELM (WELM) handles the class imbalance problem by minimizing a weighted least squares error along with regularization. In this paper, a regularized weighted CC-ELM (RWCC-ELM) is proposed, which incorporates the strength of both CC-ELM and WELM. Proposed RWCC-ELM is evaluated using imbalanced data sets taken from Keel repository. RWCC-ELM outperforms CC-ELM and WELM for most of the evaluated data sets.https://ieeexplore.ieee.org/document/7349136/Real valued classificationClass imbalance problemWeighted least squares errorRegularizationExtreme Learning MachineComplex valued neural network
spellingShingle Sanyam Shukla
Ram Narayan Yadav
Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
IEEE Access
Real valued classification
Class imbalance problem
Weighted least squares error
Regularization
Extreme Learning Machine
Complex valued neural network
title Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
title_full Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
title_fullStr Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
title_full_unstemmed Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
title_short Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
title_sort regularized weighted circular complex valued extreme learning machine for imbalanced learning
topic Real valued classification
Class imbalance problem
Weighted least squares error
Regularization
Extreme Learning Machine
Complex valued neural network
url https://ieeexplore.ieee.org/document/7349136/
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