3 Result(s)
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Article
Complex Valued Deep Neural Networks for Nonlinear System Modeling
Deep learning models, such as convolutional neural networks (CNN), have been successfully applied in pattern recognition and system identification recent years. But for the cases of missing data and big noises...
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Article
Open AccessNumerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks
The uncertain nonlinear systems can be modeled with fuzzy equations or fuzzy differential equations (FDEs) by incorporating the fuzzy set theory. The solutions of them are applied to analyze many engineering p...
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Article
Open AccessFast Support Vector Machine Classification for Large Data Sets
Normal support vector machine (SVM) algorithms are not suitable for classification of large data sets because of high training complexity. This paper introduces a novel two-stage SVM classification approach fo...
