Solving the stochastic support vector regression with probabilistic constraints by a high-performance neural network model
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DOI: 10.1007/s00366-020-01214-5
Abstract: This paper offers a recurrent neural network to support vector machine (SVM) learning in stochastic support vector regression with probabilistic constraints. The SVM is first converted into an equivalent quadratic programming (QP) formulation in linear… read more here.
Keywords: neural network; network; support vector; stochastic support ... See more keywords