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Extreme learning machine
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Extreme learning machine (extreme learning machine) ELM is an effective and easy to use, single hidden-layer feedforward neural network learning algorithm SLFNs. 2004 proposed by Huang Guangbin, an associate professor at Nanyang Technological University. Traditional neural network learning algorithms (such as BP algorithm) manual setting parameters of training, and it is easy to produce local optimal solutions. Extreme learning machine only needs to set the number of hidden nodes of the network, the algorithm does not need to be adjusted to the implementation process, the input power values, and implicit bias, and produce a single optimal solution, so has the advantage of fast learning and generalization performance.
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