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A recurrent neural network-based method for training probabilistic Support Vector Machine
Year: 2009
Abstract:
In this paper, Support Vector Machine (SVM) is reformulated to a recurrent neural
network model which can be described by the nonlinear dynamic system. In the proposed
algorithm, an iterative training procedure ...
Fuzzy c-means improvement using relaxed constraints support vector machines
Year: 2013
Abstract:
Fuzzy clustering is a widely applied method for extracting the underlying models within data. It has been
applied successfully in many real-world applications. Fuzzy c-means is one of the most popular fuzzy



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