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3 April 2024 A deep fuzzy multiple kernel classification algorithm based on improved class mean distance fuzzy membership function
Xiaoting Zhang
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Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 1307814 (2024) https://doi.org/10.1117/12.3024753
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China
Abstract
The study of classification algorithms based on support vector machines is a popular research field. This article improves the deep multiple kernel learning model based on support vector machines by introducing fuzzy membership mapping, and proposes a basic framework for deep fuzzy multiple kernel classifiers, and improves the traditional fuzzy membership function based on class mean distance, so as to get a model of deep fuzzy multiple kernel classifier based on improved class mean distance fuzzy membership function. Experimental results show that our proposed model can achieve better classification results or stability relative to the original function on multiple datasets.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xiaoting Zhang "A deep fuzzy multiple kernel classification algorithm based on improved class mean distance fuzzy membership function", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 1307814 (3 April 2024); https://doi.org/10.1117/12.3024753
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KEYWORDS
Data modeling
Support vector machines
Machine learning
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