Fuzzy support vector machine with joint optimization of genetic algorithm and fuzzy c-means.
Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:
Jan 1, 2021
Abstract
BACKGROUND: Motor imagery electroencephalogram (MI-EEG) play an important role in the field of neurorehabilitation, and a fuzzy support vector machine (FSVM) is one of the most used classifiers. Specifically, a fuzzy c-means (FCM) algorithm was used to membership calculation to deal with the classification problems with outliers or noises. However, FCM is sensitive to its initial value and easily falls into local optima.