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Support Vector Machine and Fuzzy Logic
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AI
DOI：10.12700/APH.13.5.2016.5.12.png)
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Abstract
En 中文
The article gives a short description of the history of the Support Vector Machine (SVM) method and fuzzy logic and their main parameters. It describes how SVM can be used for classification and regression calculation. In addition, it includes the description of the fuzzy logic and the three main defuzzification methods. Examples will be given to show simultaneous use of the two main Support Vector Machine-methods. It ends with the authors' description of the new possibilites for the use of the SVM and fuzzy logic in evaluation of the parameter deviation in the batteries of electric vehicles as well as those of robots.
Keywords:
SVM
classification
regression
fuzzy