Early Warning System for Financial Risks in the Real Estate Market of China on the Basis of BP Neural Network

2019 ◽  
pp. 419-424
Author(s):  
Jianjun Xie ◽  
Yue Zeng
Keyword(s):  
Neural Network ◽  
Real Estate ◽  
Early Warning ◽  
Bp Neural Network ◽  
Early Warning System ◽  
Warning System ◽  
Real Estate Market ◽  
Financial Risks ◽  
The Real Estate ◽  
The Real Estate Market

scholarly journals Analysis of Gas Leakage Early Warning System Based on Kalman Filter and Optimized BP Neural Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 175180-175193
Author(s):  
Guoquan Liu ◽  
Zhichao Jiang ◽  
Qi Wang
Keyword(s):  
Neural Network ◽  
Kalman Filter ◽  
Early Warning ◽  
Bp Neural Network ◽  
Early Warning System ◽  
Warning System ◽  
Gas Leakage

Research on Mass Real Estate Evaluation Mode Based on BP Neural Network Model

2018 ◽  
Vol 22 (7) ◽  
pp. 1099-1103 ◽  
Author(s):  
Ke Ma ◽  
Yichuan Zhang ◽  
Zhongxuan Yang ◽  
◽  
Keyword(s):  
Neural Network ◽  
Real Estate ◽  
Bp Neural Network ◽  
Evaluation System ◽  
Rapid Development ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Scientific Accuracy ◽  
The Evaluation System

With the rapid development of the real estate market, real estate evaluation is becoming more and more important and active. The real estate is now evaluated according to the expertise and experience of the appraiser. The evaluation results are often influenced by the subjective randomness of the evaluation personnel and the complicated and changeable environmental factors. It is not only a professional technology, but also a complicated art. Therefore, how to improve the scientific, accuracy and efficiency of real estate evaluation has become an important issue that needs to be studied and solved in the real estate evaluation industry. This paper takes mass real estate evaluation system as the research object, adopts the BP neural network to research the design principles of the evaluation system and the design method of the model, and designs and develops the mass intelligent evaluation system to improve the intelligence, scientific, accuracy and credibility of the evaluation system.

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