Time series prediction | MATLAB implements NARX nonlinear autoregressive exogenous model house price prediction - Code World

Time series prediction | MATLAB implements NARX nonlinear autoregressive exogenous model house price prediction

Enterprise 2023-07-18 19:46:09 views: null

Time series prediction | MATLAB implements NARX nonlinear autoregressive exogenous model house price prediction

Table of contents

- Time series prediction | MATLAB implements NARX nonlinear autoregressive exogenous model house price prediction

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basic introduction

Time series prediction | MATLAB implements NARX nonlinear autoregressive exogenous model house price prediction

research content

NARX (Nonlinear AutoRegressive with eXogenous inputs) is a nonlinear autoregressive exogenous model that can be used for time series forecasting, where exogenous variables can help improve the accuracy of forecasting. In housing price forecasting, the NARX model can use historical housing price data and other exogenous variables that affect housing prices, such as economic indicators, population data, housing policies, etc., to predict future housing price trends.
The following are the basic steps for using the NARX model to predict house prices:
Data preparation: Collect historical house price data and other relevant exogenous variable data and organize them into a time series format. <

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Origin blog.csdn.net/kjm13182345320/article/details/131756476

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