Method and device for estimating average value parameter of residential building source

Abstract

The present application relates to the field of machine learning and neural networks for processing cell source data, in particular to a method and device for estimating an average value parameter ofa residential building source, a computer device and a storage medium. The method comprises the following steps of: acquiring each cell index of a target cell; Inputting the cell index corresponding to the target cell into the preset cell similarity model to obtain the cell evaluation index of the target cell; Searching a similar cell corresponding to the target cell according to the cell evaluation index of the target cell in the preset cell set; Acquiring the average value parameters of the housing source of the similar plots, estimating the average value parameters of the housing source ofthe target plot according to the average value parameters of the housing source of the similar plots, and obtaining the average value parameters of the housing source of the target plot. The present application estimates the house source price of the target district by presetting and synthesizing the house source average price of each similar district. Compared with the factors considered by the appraiser, the present application is more comprehensive and specific, and the appraisal result is more accurate and credible.

Description

technical field [0001] The present application relates to the field of information processing, in particular to a method and device for estimating the average value parameter of housing stock in a community. Background technique [0002] Community refers to a residential area with a certain scale formed by residential buildings as the main body and equipped with commercial outlets, culture and education, entertainment, greening, public and public facilities, etc. With the advancement of China's urbanization, residential areas have sprung up like mushrooms after rain, and residential real estate has become a hot spot for people to invest. [0003] However, the traditional real estate valuation uses the market sample valuation method: the appraiser conducts on-the-spot investigation of the community, and then selects a community similar to the target community based on experience, and artificially judges the price of the target community based on the price of the similar commu...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional real estate valuation uses the market sample valuation method: the appraiser conducts on-the-spot investigation of the community, and then selects a community similar to the target community based on experience, and artificially judges the price of the target community based on the price of the similar community. However, due to the effect of this valuation method It is completely determined by the experience of the appraiser, but the data surveyed by the appraiser may not be specific enough, the factors considered may not be comprehensive enough, and there is no specific standard for the identification of similar communities, which leads to inaccurate judgments of similar communities, which in turn leads to inaccurate judgments on the housing prices of target communities error of judgment

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