Grey Prediction Model GM(1,n) with MATLAB Implementation
MATLAB source code for Grey Prediction Model GM(1,n) including model construction, accuracy validation metrics calculation (c and p values), and algorithm implementation details
MATLAB Implementation of Gray Prediction Model
Gray prediction model MATLAB program for time series forecasting with algorithm explanation and key function descriptions.
MATLAB Implementation of Grey Prediction Models
This package provides ready-to-use MATLAB code for grey prediction modeling, featuring pre-debugged implementations that require only data input for successful execution. The code includes core algorithms like GM(1,1) and supports parameter optimization for improved forecasting accuracy.
Gray Prediction Model Programming in MATLAB (Based on GM(1,1) Model)
Self-developed gray prediction model implementation in MATLAB using GM(1,1) model - designed for convenient data processing. The model predicts single future values, with extensible capability for multiple predictions through additional code implementation.
GM(1,1) Grey Prediction Model: Algorithm Explanation and Implementation Guide
The GM(1,1) grey prediction model is designed for various forecasting applications, demonstrating exceptional performance in short-term electricity load prediction. While capable of mid-to-long-term forecasting, its accuracy diminishes as the prediction horizon extends. This model employs differential equations constructed from limited data points, making it particularly suitable for small dataset scenarios.
Grey Prediction Model
Small Sample Development Forecasting Methodology
MATLAB Implementation of Grey Prediction Model with Code Description
MATLAB Code Implementation of Grey Prediction Model with Algorithm Explanations