House price prediction method, device and equipment and storage medium

A price prediction and housing technology, applied in equipment and storage media, housing price prediction methods, and devices, can solve problems such as inaccurate housing price predictions

Pending Publication Date: 2020-09-04
WUHAN POLYTECHNIC UNIVERSITY
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a house price prediction method, device, equipment and storage m

Method used

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  • House price prediction method, device and equipment and storage medium
  • House price prediction method, device and equipment and storage medium
  • House price prediction method, device and equipment and storage medium

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Embodiment Construction

[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] refer to figure 1 , figure 1 It is a schematic structural diagram of a house price prediction device in the hardware operating environment involved in the solution of the embodiment of the present invention.

[0050] Such as figure 1 As shown, the housing price prediction device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interf...

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Abstract

The invention discloses a house price prediction method, device and equipment, and a storage medium. The method comprises the steps of obtaining historical house price data and region information corresponding to the historical house price data; dividing the historical house price data according to the region information to obtain initial house price data sequences of different regions; calculating the initial house price data sequences of different regions according to a preset gray scale prediction model to obtain initial house price prediction values corresponding to the regions; calculating a spatial response value corresponding to each region according to the initial house price data sequences of different regions; and correcting the initial house price prediction value correspondingto each region according to the spatial response value corresponding to each region to obtain a target house price prediction value of each region. On the basis of a traditional time sequence, space factors are added, and influence factors among all regions are considered, so that a prediction result is more accurate and reasonable.

Description

technical field [0001] The present invention relates to the technical field of data mining and forecasting, in particular to a housing price forecasting method, device, equipment and storage medium. Background technique [0002] Existing house price forecasts are all based on the traditional gray-scale forecasting model for time dimension simulation to obtain a house price forecast model in the time dimension of a certain area. However, it has been found that traditional data mining and forecasting cannot truly reflect the changing trend of housing prices, and the forecast value is not accurate. Therefore, how to better predict the trend of house price changes is an urgent technical problem to be solved. [0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art. Contents of the invention [0004] The main purpose of the present invention is to provi...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/16
CPCG06Q30/0206G06Q30/0205G06Q30/0201G06Q50/16
Inventor 刘朔刘易马云琦
Owner WUHAN POLYTECHNIC UNIVERSITY
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