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A Method for Land Price Forecasting Using Support Vector Machine

C. F. Liu, Y. S. Qian, W. B. Zhao, M. Wang


With the growth of land market, land price has become an important value evaluating criteria of the development of land market.However, due to various influencing factors and complex impact mechanism, how to predict land price scientifically and accurately is still a problem to be solved.Using the advantages of support vector machines in handling small samples with large dimensionality, we in this work studied the standard Land Parcel Price and its influencing factors of Lanzhou City. The fitting results exhibit high accuracy, indicating that the model has positive application potential in the prediction of urban land price


Support vector machines, land price, prediction.

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