Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines

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Salimi sartakhti J.; Goli Bidgoli S.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2021 | Volume:19 | Issue:3 Page(s): 183-192

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Title

Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines

Author(s)

Salimi sartakhti J. | Goli Bidgoli S. | Issue Writer Certificate

Keywords

Incremental learningQ1

SVMQ1

fuzzy classificationQ1

FLSTSVMQ1

Abstract

Support Vector machine is one of the most popular and efficient algorithms in machine learning. There are several versions of this algorithm, the latest of which is the fuzzy least squares twin support vector machines. On the other hand, in many machine learning applications input data is continuously generated, which has made many traditional algorithms inefficient to deal with them. In this paper, for the first time, an incremental version of the fuzzy least squares twin support vector algorithm is presented. The proposed algorithmis represented in both online and quasi-online modes. To evaluate the accuracy and precision of the proposed algorithmfirst we run our algorithm on 6 datasets of the UCI repository. Results showthe proposed algorithm is more efficient than other algorithms (even non-incremental versions). In the second phase in the experiments, we consider an application of Internet of Things, and in particular in data related to daily activities which inherently are incremental. According to experimental results, the proposed algorithm has the best performance compared to other incremental algorithms.

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APA: Copy

Salimi sartakhti, J., & Goli Bidgoli, S.. (2021). Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 19(3 ), 183-192. SID. https://sid.ir/paper/413669/en

Vancouver: Copy

Salimi sartakhti J., Goli Bidgoli S.. Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2021;19(3 ):183-192. Available from: https://sid.ir/paper/413669/en

IEEE: Copy

J. Salimi sartakhti, and S. Goli Bidgoli, “Propose a Proper Algorithm for Incremental Learning Based on Fuzzy Least Square Twin Support Vector Machines,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 19, no. 3 , pp. 183–192, 2021, [Online]. Available: https://sid.ir/paper/413669/en

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