Advertisement
Published in:
2011 | OriginalPaper | Chapter
The Appraisal Model of Real Estate Project Based on PCA and BP Neural Network
Author : Hui Zhao
Published in: Advanced Research on Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
A appraisal model based on the integration of principal component analysis (PCA) and back propagation (BP) neural network is put forward for appraising the real estate project. Firstly, principal component analysis (PCA) is used to reduce the evaluation index dimensions. And then, back propagation (BP) neural network is used to appraise the real estate projects. In order to grasp this appraisal model better, finally, the paper provides a case to demonstrate the application of this model in appraising the real estate project. The case has shown that the model applied to appraise the real estate project is feasible and reliable.