Stochastic Configuration Networks: Fundamentals and Algorithms
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DOI: 10.1109/tcyb.2017.2734043
Abstract: This paper contributes to the development of randomized methods for neural networks. The proposed learner model is generated incrementally by stochastic configuration (SC) algorithms, termed SC networks (SCNs). In contrast to the existing randomized learning… read more here.
Keywords: networks fundamentals; configuration; configuration networks; fundamentals algorithms ... See more keywords