Real estate value estimation method based on artificial neural network statistic model

An artificial neural network and statistical model technology, applied in the field of real estate valuation, can solve problems such as non-standard valuation results, unscientific valuation models, and inconsistent valuation standards

Inactive Publication Date: 2014-02-12
BEIJING AOQI URBAN NETWORK TECH
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the existing problems of inconsistent valuation standards, non-standard valuation results, and unscientific valuation models in existing real estate valuations, the present invention pro

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real estate value estimation method based on artificial neural network statistic model
  • Real estate value estimation method based on artificial neural network statistic model
  • Real estate value estimation method based on artificial neural network statistic model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] 1. Design the composition of the artificial neural network model for house price valuation, including the input layer, output layer, middle layer, and the determination of the number of nodes in the middle layer.

[0017] 2. The input layer is the average transaction price of real estate and various factors that affect housing prices, including basic factors and adjustment factors. Basic factors are the basic determinants of property prices, including: land acquisition costs, preliminary engineering costs, supporting costs, construction and installation costs, management costs, sales costs, taxes, interest and profits, etc. For second-hand real estate, these factors reflect the value when the property was built, and have extremely limited reference value for the current market price, so we can use the current market price of the property or the market price of similar properties as a parameter. Adjustment factors are environmental adjustment factors for property prices,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a real estate value estimation method based on a statistic model and map surrounding resource influence factors. The artificial neural network statistic model is adopted, the current average transaction price of real estate is used as a base price, and the base factors influencing a housing price and the weight of the factors are adjusted to build a housing price estimation neural network model including an input layer, a middle hidden layer and an output layer. The average transaction price of the real estate and all influence factors are included in the input layer, the structure of the middle hidden layer is the core content of the method, and the output layer includes the estimation price of the real estate. The estimated value of the price of the real estate is not a black box operation based on the experience of estimators any more, and is a resource capable of being publically used by people, the influence of all environment factors and the influence factors on the housing price is graphically displayed more visually, and people are made to understand the estimation component of the housing value more clearly. The flow chart of the method is shown as an attached map.

Description

technical field [0001] The invention relates to a real estate valuation method, in particular to a real estate valuation method based on the surrounding environment and resources. technical background [0002] The current real estate valuation adopts a market valuation method based on the appraiser's experience, using historical transaction prices as the benchmark for valuation, and adjusting the valuation through factor adjustments. There are many uncertain factors in the process of factor adjustment, which is mainly reflected in the fact that the value and weighting of the adjustment factors depend on the experience of the appraiser, which may easily cause inconsistencies in the valuations of different appraisers. Contents of the invention [0003] In order to solve the existing problems of inconsistent valuation standards, non-standard valuation results, and unscientific valuation models in existing real estate valuations, the present invention provides a scientific rea...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q50/16G06N3/02
Inventor 莫丽娟李燕宁吴骞
Owner BEIJING AOQI URBAN NETWORK TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap