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In order to solve the problem of large Sample and low resolution problems in predicting the risk of human resource of construction enterprises, a new method based on support vector machine is proposed in this paper. By introducing the theoretical base of SVM (support vector machine), the model based on SVM can rationally solve the large sample and low resolution problems in Genetic Algorithm and other...
In order to solve the problem of tourist satisfaction degree (TSD is referred to as tourist satisfaction degree) evaluation, a new method based on support vector machine (SVM is referred to as the support vector machine) is used in this paper. First of all, according to the principles of designing the tourist satisfaction index system, a more comprehensive index system is built up; then the factor...
Support vector machine is a new machine learning technique developed on the basis of statistical learning theory, which has become the hotspot of machine learning because of its excellent learning performance. Based on analyzing the theory of support vector machine for regression (SVR), a SVR model is established for predicting the output in fully mechanized mining face, and then realizes the model...
With the rapid development of real estate, the risk of investment is also increasing rapidly. So the risk of predicting and controlling the real estate investment has become the key to the success or failure of the project. In this paper, a support vector machine (SVM) modeling approach for real estate investment risk prediction is proposed at first, which is made use of its merits of structural risk...
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