Mexican Hat Wavelet Kernel ELM for Multiclass Classification
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However, the traditional KELM classifier usually has a lo...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2017/7479140 |
id |
doaj-4b43304161f948f99dbee130ff09a924 |
---|---|
record_format |
Article |
spelling |
doaj-4b43304161f948f99dbee130ff09a9242020-11-24T20:41:20ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732017-01-01201710.1155/2017/74791407479140Mexican Hat Wavelet Kernel ELM for Multiclass ClassificationJie Wang0Yi-Fan Song1Tian-Lei Ma2School of Electrical Engineering, Zhengzhou University, Zhengzhou, ChinaSchool of Electrical Engineering, Zhengzhou University, Zhengzhou, ChinaSchool of Electrical Engineering, Zhengzhou University, Zhengzhou, ChinaKernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However, the traditional KELM classifier usually has a low test accuracy when it faces multiclass classification problems. In order to solve the above problem, a new classifier, Mexican Hat wavelet KELM classifier, is proposed in this paper. The proposed classifier successfully improves the training accuracy and reduces the training time in the multiclass classification problems. Moreover, the validity of the Mexican Hat wavelet as a kernel function of ELM is rigorously proved. Experimental results on different data sets show that the performance of the proposed classifier is significantly superior to the compared classifiers.http://dx.doi.org/10.1155/2017/7479140 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jie Wang Yi-Fan Song Tian-Lei Ma |
spellingShingle |
Jie Wang Yi-Fan Song Tian-Lei Ma Mexican Hat Wavelet Kernel ELM for Multiclass Classification Computational Intelligence and Neuroscience |
author_facet |
Jie Wang Yi-Fan Song Tian-Lei Ma |
author_sort |
Jie Wang |
title |
Mexican Hat Wavelet Kernel ELM for Multiclass Classification |
title_short |
Mexican Hat Wavelet Kernel ELM for Multiclass Classification |
title_full |
Mexican Hat Wavelet Kernel ELM for Multiclass Classification |
title_fullStr |
Mexican Hat Wavelet Kernel ELM for Multiclass Classification |
title_full_unstemmed |
Mexican Hat Wavelet Kernel ELM for Multiclass Classification |
title_sort |
mexican hat wavelet kernel elm for multiclass classification |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2017-01-01 |
description |
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However, the traditional KELM classifier usually has a low test accuracy when it faces multiclass classification problems. In order to solve the above problem, a new classifier, Mexican Hat wavelet KELM classifier, is proposed in this paper. The proposed classifier successfully improves the training accuracy and reduces the training time in the multiclass classification problems. Moreover, the validity of the Mexican Hat wavelet as a kernel function of ELM is rigorously proved. Experimental results on different data sets show that the performance of the proposed classifier is significantly superior to the compared classifiers. |
url |
http://dx.doi.org/10.1155/2017/7479140 |
work_keys_str_mv |
AT jiewang mexicanhatwaveletkernelelmformulticlassclassification AT yifansong mexicanhatwaveletkernelelmformulticlassclassification AT tianleima mexicanhatwaveletkernelelmformulticlassclassification |
_version_ |
1716825544273690624 |