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A two-stage architecture for stock price forecasting by combining SOM and fuzzy-SVM
For each partition, a set of fuzzy rules is extracted based on a f-SVM combining model.
Improving the Interpretability of Support Vector Machines-based Fuzzy Rules
Support vector machines (SVMs) and fuzzy rule systems are functionally equivalent under some conditions.
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