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SVM which is based on statistical theory has the advantage of no relying on designer's experience of learning and the prior knowledge. So it is widely used in optimization, decision-making, regression estimates, speech recognition, facial image recognition, and so on. Because there are some kinds of wrong and isolated samples in the training samples in the forecasting model, and the learning process...
Empirical risk minimization based neural network suffers drawbacks like over fitting the training data and the choice of the topology structure. According to the periodicity and trend of precipitation, the precipitation forecast model based on support vector machine (SVM) was developed. SVM possesses high generalization ability by employing structural risk minimization to minimize the learning errors...
Based on the comprehensive analysis of the existing risk early warning methods in real estate, a new risk forecast method based on support vector machine is put forward. And a risk early warning model in real estate market based on support vector machine is established. The realization process of the risk early warning method is discussed. Taking the practical data in real estate exploitation as the...
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