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Urban livability evaluation method based on BP neural network

A technology of BP neural network and evaluation method, which is applied in the field of urban livability evaluation based on BP neural network, and can solve the problems of less guiding role of urban development and poor performance.

Inactive Publication Date: 2019-12-03
NORTHEASTERN UNIV LIAONING
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AI Technical Summary

Problems solved by technology

[0002] The existing inventions in this area only focus on ranking cities, which has little guiding effect on the development of future cities. At the same time, the algorithms used in the current inventions are mostly focused on traditional algorithms, which are not as good as the latest ones in some aspects. Intelligent Algorithm

Method used

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  • Urban livability evaluation method based on BP neural network
  • Urban livability evaluation method based on BP neural network
  • Urban livability evaluation method based on BP neural network

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Experimental program
Comparison scheme
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Embodiment approach

[0132] As a preferred implementation manner, the step S2 also includes the following steps:

[0133] Step S21: Selecting indicators;

[0134] Step S22: Screening the dimensionality reduction of the factor analysis model realization index;

[0135] First collect data, and then perform dimensionless processing in order to comprehensively evaluate the overall index. The calculation formula is:

[0136]

[0137] The factor analysis model is to combine each indicator X i Use m(m≤n) public factors F 1 ,F 2 ,…F m A linear combination representation of , namely:

[0138]

[0139] Among them: a i,j Indicates factor loading (i=1,2,...n,j=1,2,...,m), for X i The load on the jth common factor, that is, the degree of influence of the common factor on each initial index; ε i represents a special factor and only for X i works; the factor analysis model can also be transformed into:

[0140]

[0141] in:

[0142]

[0143] mu jl Indicates that the jth indicator correspo...

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Abstract

The invention provides an urban livability evaluation method based on a BP neural network. The urban livability evaluation method comprises the steps of establishing a BP neural network evaluation model based on a factor analysis method; establishing and solving a factor analysis model; improving the established BP neural network evaluation model to obtain an improved BP neural network model; analyzing the multi-parameter sensitivity according to the result of the improved BP neural network model; and constructing a dynamic comprehensive evaluation model of the urban livability, and evaluatingthe urban livability. According to the method, cities are ranked; the sensitivity of parameters selected by ranking is analyzed, the influence of future factor changes on cities is predicted, a better guiding effect is achieved on future development of the cities, and the article evaluation and prediction system has both stability and accuracy through combined application of a traditional algorithm and an intelligent algorithm.

Description

technical field [0001] The present invention relates to the technical field of evaluation methods, in particular, to a method for evaluating urban livability based on BP neural network. Background technique [0002] The existing inventions in this area only focus on ranking cities, which has little guiding effect on the development of future cities. At the same time, the algorithms used in the current inventions are mostly focused on traditional algorithms, which are not as good as the latest ones in some aspects. Intelligent Algorithm. In the present invention, not only the cities are ranked, but also the sensitivity of the parameters selected by the ranking is analyzed and the impact of future factor changes on the cities is predicted, which has a better guiding effect on the future development of the cities, while the traditional algorithm and The combined application of intelligent algorithms makes the evaluation and prediction system of this patent both stable and accu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06N3/04
CPCG06Q10/06393G06Q10/04G06N3/045
Inventor 于海鑫刘登峰
Owner NORTHEASTERN UNIV LIAONING
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