Grey Prediction Model GM(1,n) with MATLAB Implementation

This repository provides MATLAB source code for the Grey Prediction Model GM(1,n), featuring complete model construction and calculation of accuracy validation metrics (c and p values). The implementation includes cumulative generation operations, parameter estimation using least squares method, and differential equation solving for multi-variable forecasting. The model can predict various data types including economic, environmental, and social datasets. Users can analyze data development trends and make accurate predictions through this implementation. The modular code structure allows for easy customization and optimization to meet specific requirements, with key functions handling data preprocessing, grey differential equation modeling, and precision validation through posterior variance tests. The implementation demonstrates proper handling of multi-variable sequences and provides clear visualization of prediction results versus actual data.