Results 31 to 40 of about 602,374 (329)
Sensors, 2017 A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic
Yulin Jian +8 more
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IEEE Access, 2020 Kitchen waste is both a pollutant and an available resource. The anaerobic digestion (AD) technology can effectively treat waste and generate biogas. The concentration of volatile fatty acids (VFA) is one of the essential quality monitoring indicators in
Pengfei Yan, Boyang Shen, Yuhong Wang
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A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams [PDF]
, 2015 © 2015 IEEE. Extreme Learning Machine (ELM) is an answer to an increasing demand for a low-cost learning algorithm to handle big data applications. Nevertheless, existing ELMs leave four uncharted problems: complexity, uncertainty, concept drifts, curse ...
Lu, J, Pratama, M, Zhang, G
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Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine [PDF]
, 2016 In this paper, we propose a scheme that can be used in largescale nonlinear facial image classification problems. An approximate solution of the kernel Extreme Learning Machine classifier is formulated and evaluated.
Iosifidis, Alexandros +2 more
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Discrete Dynamics in Nature and Society, 2016 According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this ...
Senyue Zhang, Wenan Tan
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, 2015 Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of learning methods.
Çatak, Ferhat Özgür
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Extreme learning machines [PDF]
, 2019 This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants. DOCTOR OF PHILOSOPHY (EEE)
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Extreme learning machine based actuator fault detection of a quadrotor helicopter
Advances in Mechanical Engineering, 2017 Actuator fault might occur during quadrotor helicopter’s flight. It is a demand to detect actuator fault in real-time. An actuator fault detection method based on extreme learning machine is proposed.
Chen Li, Yu Zhang, Ping Li
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Landslide displacement prediction based on AdaBoost-PSO-ELM algorithm
Dianzi Jishu Yingyong, 2019 The process of landslides in mine dumps is a dynamic, large-delay, highly nonlinear characteristic problem. There are many factors affecting the landslide of mine dumps, and each characteristic index has mutual influence.
Zhang Xiaoming +3 more
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A Novel Progressive Multi-label Classifier for Classincremental Data
, 2016 In this paper, a progressive learning algorithm for multi-label classification to learn new labels while retaining the knowledge of previous labels is designed.
Dave, Mihika +3 more
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