World Academy of Science, Engineering and Technology
Published June 28, 2011 | Version 10715
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Support Vector Fuzzy Based Neural Networks For Exchange Rate Modeling

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A Novel fuzzy neural network combining with support vector learning mechanism called support-vector-based fuzzy neural networks (SVBFNN) is proposed. The SVBFNN combine the capability of minimizing the empirical risk (training error) and expected risk (testing error) of support vector learning in high dimensional data spaces and the efficient human-like reasoning of FNN.

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