Fahmida - E - Moula
Dalian University of Technology
Fahmida is an Investment Theory Doctoral candidate at the Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China. Her research interests include financial risk management, credit analysis, bankruptcy prediction, etc
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An optimized support vector machine intelligent technique using optimized feature selection methods: evidence from Chinese credit approval data
This paper focuses on feature selection methods for support vector machine (SVM) classifiers, checking their optimality by comparing them with some statistical and baseline methods.
In this study, the authors address the fact that the ranking of classifiers varies for different criteria with measures under different circumstances, by proposing the simultaneous application of support vector machine and probabilistic neural network …