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Published in 2017 at "Neurocomputing"
DOI: 10.1007/978-3-319-28373-9_30
Abstract: Extreme Learning Machine (ELM) is a learning algorithm based on generalized single-hidden-layer feed-forward neural network. Since ELM has an excellent performance on regression and classification problems, it has been paid more and more attention recently.…
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Keywords:
extreme learning;
elm;
learning machine;
hidden layer ... See more keywords
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1
Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3128-7
Abstract: Extreme learning machine (ELM) is a kind of random projection-based neural networks, whose advantages are fast training speed and high generalization. However, three issues can be improved in ELM: (1) the calculation of output weights takes…
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Keywords:
random projection;
extreme learning;
elm;
layer ... See more keywords
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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3153-6
Abstract: Reasonable burden distribution matrix is one of important requirements that can realize low consumption, high efficiency, high quality and long campaign life of the blast furnace. This paper proposes a data-driven prediction model of adjusting…
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Keywords:
elm;
data driven;
model;
prediction ... See more keywords
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1
Published in 2020 at "European Journal of Forest Research"
DOI: 10.1007/s10342-020-01286-4
Abstract: Dutch elm disease (DED) is a vascular wilt disease of elms caused by ascomycetous fungi of the genus Ophiostoma . The initial DED pandemic was caused by Ophiostoma ulmi , a relatively weak pathogen when…
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Keywords:
novo ulmi;
elm disease;
dutch elm;
elm ... See more keywords
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Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-020-03690-w
Abstract: As stock data is characterized by highly noisy and non-stationary, stock price prediction is regarded as a knotty problem. In this paper, we propose new two-stage ensemble models by combining empirical mode decomposition (EMD) (or…
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Keywords:
machine;
mode decomposition;
elm;
price prediction ... See more keywords
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1
Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1695-0
Abstract: In order to fully utilize potential feature information of RGB-D images, current popular algorithms mainly use convolutional neural network (CNN) to execute both feature extraction and classification. Such methods could achieve impressive results but usually on the…
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Keywords:
feature;
object recognition;
elm;
rgb object ... See more keywords
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1
Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9745-9
Abstract: In this paper, a new efficient model of neural network is proposed, which is realized by the combination of two recent and successful neurocomputing paradigms. The idea behind the work is to realize a neural…
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Keywords:
network;
elm;
neuron based;
multi valued ... 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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Published in 2018 at "Cognitive Computation"
DOI: 10.1007/s12559-018-9596-3
Abstract: Deep neural networks have made significant achievements in representation learning of traditionally man-made features, especially in terms of complex objects. Over the decades, this learning process has attracted thousands of researchers and has been widely…
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Keywords:
extreme learning;
elm;
learning machine;
attention ... See more keywords
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Published in 2021 at "Fungal Ecology"
DOI: 10.1016/j.funeco.2020.101024
Abstract: Abstract Certain fungal endophytes improve plant resistance to biotic stresses in forest trees. In this study, three stem fungal endophytes belonging to classes Cystobasidiomycetes, Eurotiomycetes and Dothideomycetes were selected from 210 isolates for their potential…
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Keywords:
elm;
endophyte inoculation;
resistance;
ulmus minor ... See more keywords
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Published in 2017 at "Fusion Engineering and Design"
DOI: 10.1016/j.fusengdes.2016.12.005
Abstract: Abstract 3D transient thermo-structural analyses and steady state magnetic field analyses of 1:1 prototyped JET Edge Localized Mode (ELM) coils have been carried out. Temperature distribution within the magnet winding as well as the temperature…
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Keywords:
transient thermo;
elm coils;
thermo structural;
elm ... See more keywords