Housing price prediction based on neural network regression
Abstract
Neural network abstracts the neural network of human brain from the
perspective of information processing, establishes a simple model, and forms
different networks according to different connections. Regression analysis is a
statistical analysis method to determine the quantitative relationships between
two or more variables that are interdependent. In this paper, the neural
network is combined with regression from the observation of the data to
obtain the features, then the network model is constructed and compiled, and
then the K-fold test is used to verify the feasibility of the method. Finally, the
results are obtained and the final model is saved to realize an example based
on the housing price in Boston.
Key words: Neural network; Regression; To predict;
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