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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...
The Support Vector Machine method has a good learning and generalization ability. Unfortunately, there are no comprehensive theories to guide the parameter selection of the SVM, which largely limits its application. In order to get the optimal parameters automatically, researchers have tried a variety of methods. Using genetic algorithms to optimize parameters of an SVM Classifier has become one of...
Target recognition algorithm based on support vector machine of optimum parameters is put forward in this paper. Firstly, local surrounding-line integral bispectrum feature is extracted from the bispectrum of range profile of target. Secondly, parameter scope is obtained through experiment method, optimum parameters of support vector machine are gotten using genetic algorithm. Finally, support vector...
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