TY - GEN
T1 - A new fuzzy membership function for FSVM and its application in machinery fault diagnosis
AU - Tang, Hao
AU - Liao, Yuhe
AU - Wang, Xiufeng
PY - 2012
Y1 - 2012
N2 - In this paper, a new fuzzy membership function for fuzzy support vector machine is presented. It provides an effective approach to deal with the over-fitting problem when outliers exist in the training data set. Combining with the concept of the K-nearest neighbor algorithm, we give a definition of the new fuzzy membership function. Then, fuzzy support vector machine with some improvements is successfully applied in machinery fault diagnosis and some engineering experimental results show the good performance of the present approach.
AB - In this paper, a new fuzzy membership function for fuzzy support vector machine is presented. It provides an effective approach to deal with the over-fitting problem when outliers exist in the training data set. Combining with the concept of the K-nearest neighbor algorithm, we give a definition of the new fuzzy membership function. Then, fuzzy support vector machine with some improvements is successfully applied in machinery fault diagnosis and some engineering experimental results show the good performance of the present approach.
KW - fuzzy membership function
KW - fuzzy support vector machine
KW - machinery fault diagnosis
UR - https://www.scopus.com/pages/publications/84866153829
U2 - 10.1109/ICNC.2012.6234682
DO - 10.1109/ICNC.2012.6234682
M3 - 会议稿件
AN - SCOPUS:84866153829
SN - 9781457721311
T3 - Proceedings - International Conference on Natural Computation
SP - 35
EP - 39
BT - Proceedings - 2012 8th International Conference on Natural Computation, ICNC 2012
T2 - 2012 8th International Conference on Natural Computation, ICNC 2012
Y2 - 29 May 2012 through 31 May 2012
ER -