Extreme Learning Machine [1] (Extreme Learning Machine, ELM) is a highly effective way to learn a single hidden layer neural network (Single hidden Layer Feed-forward Neural networks, SLFNs) put forward basis. Unlike traditional neural networks, ELM all the hidden layer parameters are randomly generated, without the need for cumbersome iterative process their output weights are obtained by solving the generalized inverse matrix obtained. Thus, compared to the traditional SLFNs, learning performance guarantee on the basis of, ELM training speed can be significantly improved.

elm.m

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