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The grey forecasting model has been successfully used in many fields. But it still has some defects. Research has found that the problems of the conventional grey prediction model in the background value and the boundary value have great influence on the accuracy of prediction result. To address this problem, a combinatorial optimization method is proposed in this paper. Firstly, to overcome the shortcomings...
Making the science assessment and prediction of the credit risk of the small and medium-sized enterprises (SME) is a significant part of risk management of commercial bank. This paper firstly integrates Genetic Algorithm (GA) with v-SVR model, creates the credit prediction model, GA-v-SVR, and then builds the SME credit risk indicator system. Using principal component analysis method screens out the...
Software reliability prediction models is very helpful for developers and testers to know the phase in which corrective action need to be performed in order to achieve target reliability estimate. In this paper, an SVM-based model for software reliability forecasting is proposed. Support vector machine (SVM) is a new method based on statistical learning theory. It has been successfully used to solve...
Support vector machine (SVM) is a new method based on statistical learning theory. It has been successfully used to solve nonlinear regression and time series problems. However, SVM has rarely been applied to software reliability prediction. In this study, an SVM-based model for software reliability forecasting is proposed. In addition, the parameters of SVM are determined by Genetic Algorithm (GA)...
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