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Extreme learning machine (ELM) is a learning method for training feedforward neural networks with randomized hidden layer(s). It initializes the weights of hidden neurons in a random manner and determines the output weights in an analytic manner by making use of Moore-Penrose (MP) generalized inverse. No-Prop algorithm is recently proposed training algorithm for feedforward neural networks in which...
ELM (extreme learning machine) algorithm has the advantages of fast learning speed, good generalization performance. It is not only suitable for regression, fitting problem, but also applies to the field of classification and pattern recognition. In this paper, ELM algorithm is applied to nonlinear function fitting. The performance and running speed with other algorithms are comparison, show the superiority...
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