Results 41 to 50 of about 5,507 (168)
LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data [PDF]
Neurocomputing, 2015 Accepted for publication in Neurocomputing, 01/19 ...
Han, Bo +6 more
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Applied Sciences, 2022 In this paper, a combined approach of Principal Component Analysis (PCA)-based Extreme Learning Machine (ELM) for boiler output forecasting in a thermal power plant is presented.
K. K. Deepika +6 more
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An Ensemble Extreme Learning Machine for Data Stream Classification
Algorithms, 2018 Extreme learning machine (ELM) is a single hidden layer feedforward neural network (SLFN). Because ELM has a fast speed for classification, it is widely applied in data stream classification tasks.
Rui Yang, Shuliang Xu, Lin Feng
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Advances in Mechanical Engineering, 2021 Fault diagnosis is of great significance to improve the production efficiency and accuracy of industrial robots. Compared with the traditional gradient descent algorithm, the extreme learning machine (ELM) has the advantage of fast computing speed, but ...
Jianwen Guo +5 more
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Feature Extraction Based Face Recognition Using Extreme Learning Machine (ELM)
International Journal of Computer and Communication Technology, 2016 In recent years, Face recognition becomes one of the popular biometric identification systems used in identifying or verifying individuals and matching it against library of known faces. Biometric identification is an actively growing area of research and used in electronic commerce, electronic banking, electronic passports, electronic licences and ...
NAGABHAIRAVA VENKATA SIDDARTHA +3 more
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Time Series Prediction Based on Adaptive Weight Online Sequential Extreme Learning Machine
Applied Sciences, 2017 A novel adaptive weight online sequential extreme learning machine (AWOS-ELM) is proposed for predicting time series problems based on an online sequential extreme learning machine (OS-ELM) in this paper.
Junjie Lu, Jinquan Huang, Feng Lu
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Inverse-Matrix-Free Online Sequential Extreme Learning Machine
Jisuanji kexue yu tansuo, 2020 Since the existing inverse-matrix-free extreme learning machine (IF-ELM) only works well in batched way, this paper extends it into its inverse-matrix-free online sequential version called the inverse-matrix-free online sequential extreme learning ...
ZUO Pengyu, WANG Shitong
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An Improved Multi-Label Learning Method with ELM-RBF and a Synergistic Adaptive Genetic Algorithm
Algorithms, 2022 Profiting from the great progress of information technology, a huge number of multi-label samples are available in our daily life. As a result, multi-label classification has aroused widespread concern. Different from traditional machine learning methods
Dezheng Zhang, Peng Li, Aziguli Wulamu
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Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks
Energies, 2019 This paper presents a novel method for online power quality data analysis in transmission networks using a machine learning-based classifier. The proposed classifier has a bundle structure based on the enhanced version of the Extreme Learning Machine ...
Ferhat Ucar +5 more
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Sin Activation Structural Tolerance of Online Sequential Circular Extreme Learning Machine
International Journal of Technology, 2017 This article discusses the development of the online sequential circular extreme learning machine (OS-CELM) and structural tolerance OS-CELM (STOS-CELM).
Sarutte Atsawaraungsuk +1 more
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