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Extreme learning machine with errors in variables
World Wide Web, 2013Extreme learning machine (ELM) is widely used in training single-hidden layer feedforward neural networks (SLFNs) because of its good generalization and fast speed. However, most improved ELMs usually discuss the approximation problem for sample data with output noises, not for sample data with noises both in input and output values, i.e., error-in ...
Jianwei Zhao 0004 +2 more
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Robust incremental extreme learning machine
2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014Extreme Learning Machine (ELM) is a special single-hidden-layer feedforward neural networks with very fast learning speed and has attracted significant research attentions in recent years. The salient feature of ELM is that the input parameters can be randomly generated instead of being exhaustively tuned, and thus saving a great deal of computational ...
Zhifei Shao, Meng Joo Er, Ning Wang 0002
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Reinforcement Learning Based on Extreme Learning Machine
2012Extreme learning machine not only has the best generalization performance but also has simple structure and convenient calculation. In this paper, its merits are used for reinforcement learning. The use of extreme learning machine on Q function approximation can improve the speed of reinforcement learning.
Jie Pan +3 more
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Reduced Kernel Extreme Learning Machine
2013We present a fast and accurate algorithm–reduced kernel extreme learning machine (Reduced-KELM). It randomly selects a subset from given dataset, and uses \(\mathcal{K}(X,\tilde{X})\) in place of \(\mathcal{K}(X,X)\). The large scale kernel matrix with size of n×n is reduced to \(n\times \tilde{n} \), and the time-consuming computation for inversion of
Wanyu Deng, Qinghua Zheng, Kai Zhang
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Hierarchical extreme learning machines
Neurocomputing, 2018Guang-Bin Huang +2 more
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Advances in Extreme Learning Machines (ELM2013)
Neurocomputing, 2015Amaury Lendasse +3 more
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Applications of Extreme Learning Machines
Computing in Science & Engineering, 2019openaire +1 more source
A robust extreme learning machine for modeling a small-scale turbojet engine
Applied Energy, 2018Yong-Ping Zhao, Bing Li
exaly
An improved cuckoo search based extreme learning machine for medical data classification
Swarm and Evolutionary Computation, 2015P K Dash
exaly