Open Access Open Access  Restricted Access Subscription or Fee Access

A Method for Land Price Forecasting Using Support Vector Machine

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

Abstract


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

Keywords


Support vector machines, land price, prediction.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.