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Published in 2022 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-022-18655-8
Abstract: Wind energy is a powerful yet freely available renewable energy. It is crucial to predict the wind speed (WS) accurately to make a precise prediction of wind power at wind power generating stations. Generally, the…
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Keywords:
prediction;
support vector;
wavelet kernel;
vector regression ... See more keywords
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Published in 2017 at "Memetic Computing"
DOI: 10.1007/s12293-016-0198-x
Abstract: Extreme learning machine (ELM) not only is an effective classifier in supervised learning, but also can be applied on unsupervised learning and semi-supervised learning. The model structure of unsupervised extreme learning machine (US-ELM) and semi-supervised…
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Keywords:
machine;
extreme learning;
elm;
learning machine ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3151761
Abstract: In the electronic nose (e-nose), a stable feature representation of the gas sensor’s response is a key step to realize subsequent odor identification algorithms. However, the noises in gas sensors hinder the acquisition of such…
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Keywords:
wavelet kernel;
feature;
feature extraction;
multiscale wavelet ... See more keywords
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Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380434
Abstract: Marble is one of the most popular decorative elements. Marble quality varies depending on its vein patterns and color, which are the two most important factors affecting marble quality and class. The manual classification of…
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Keywords:
machine;
extreme learning;
wavelet kernel;
learning machine ... See more keywords