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Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00926-5
Abstract: This paper presents an efficient hyperspectral images classification method based on multiple reduced kernel extreme learning machine (MRKELM). The MRKELM model is developed on the basis of the multiple kernel leaning method and the reduced…
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Keywords:
learning machine;
machine;
kernel extreme;
reduced kernel ... See more keywords
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Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.105539
Abstract: Abstract The kernel extreme learning machine (KELM) has attracted attention for failure diagnosis of turbofan engines, but its application for time-sensitive scenarios is inherently limited by its lack of sparseness. The original KELM constructs the…
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Keywords:
diagnosis turbofan;
extreme learning;
failure diagnosis;
kernel extreme ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108161
Abstract: Abstract The magnitude of leakage in the dam body and its foundation can be used as an important indicator in dam risk management. This study presents a data mining and monitoring framework for safety control…
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Keywords:
leakage flow;
dam;
leakage;
dam leakage ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.023
Abstract: In this paper, we propose an approximation scheme of the Kernel Extreme Learning Machine algorithm for Single-hidden Layer Feedforward Neural network training that can be used for large scale classification problems. The Approximate Kernel Extreme…
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Keywords:
large scale;
classification;
extreme learning;
learning machine ... See more keywords
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Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2933410
Abstract: This paper addresses the questions and concerns raised in the comment paper entitled “Comments on ‘Traffic Sign Recognition Using Kernel Extreme Leaning Machines With Deep Perceptual Features”’. It is analyzed that the major questions and…
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Keywords:
kernel extreme;
sign recognition;
paper;
traffic sign ... See more keywords
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Published in 2018 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2018.2858787
Abstract: A dynamic adjustment kernel extreme learning machine with transfer functions is proposed for parametric modeling of the electromagnetic behavior of microwave components. If satisfactory accuracy has not been obtained, the proposed model, which supports the…
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Keywords:
extreme learning;
learning machine;
dynamic adjustment;
adjustment kernel ... See more keywords
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Published in 2017 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2017/9512741
Abstract: In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO-KELM, for medical diagnosis. The proposed IGWO feature selection approach…
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Keywords:
wolf optimization;
feature;
diagnosis;
grey wolf ... See more keywords
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Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814017751446
Abstract: Aiming at connatural limitations of extreme learning machine in practice, a new fault diagnosis method based on wavelet packet-energy entropy and fuzzy kernel extreme learning machine is proposed. On one hand, the presented method can…
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Keywords:
machine;
fuzzy kernel;
extreme learning;
learning machine ... 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