Abstract
AbstractA 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.KeywordsReal estate projectPCABP neural network
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