Modeling of Superheated Steam Temperature using Sparse Least Squares Support Vector Networks

Abstract

Super-heater steam temperature in power plant is the strong nonlinearity system. Though neural networks have the ability to approximate nonlinear functions with arbitrary accuracy, good generalization results are obtained only if the structure of the network is suitably chosen. Therefore, selecting the "best" structure of the neural network is more… (More)

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