2024
DOI: 10.3390/sym16121585
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Decomposition and Symmetric Kernel Deep Neural Network Fuzzy Support Vector Machine

Karim El Moutaouakil,
Mohammed Roudani,
Azedine Ouhmid
et al.

Abstract: Algorithms involving kernel functions, such as support vector machine (SVM), have attracted huge attention within the artificial learning communities. The performance of these algorithms is greatly influenced by outliers and the choice of kernel functions. This paper introduces a new version of SVM named Deep Decomposition Neural Network Fuzzy SVM (DDNN-FSVM). To this end, we consider an auto-encoder (AE) deep neural network with three layers: input, hidden, and output. Unusually, the AE’s hidden layer compris… Show more

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