离散灰色预测模型和AR预测模型的组合预测

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离散灰色预测模型和AR预测模型的组合预测，matlab

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The combination of Discrete Grey Prediction Model and AR Prediction Model for forecasting, implemented using Matlab, has been a popular subject of research in recent years. These models, which utilize mathematical algorithms to analyze data and make predictions, have been shown to be effective in a variety of fields, including finance, economics, and meteorology. The Discrete Grey Prediction Model, in particular, is based on the theory of grey systems, which was developed by Chinese mathematician Deng Julong in the 1980s. This model has been used successfully in a number of applications, such as forecasting the growth of crops and predicting the failure rate of industrial equipment. When combined with the AR Prediction Model, which takes into account the impact of past observations on future predictions, the accuracy of the forecast is further improved. In conclusion, the combination of the Discrete Grey Prediction Model and AR Prediction Model in Matlab is a powerful tool for forecasting and has wide applications in various fields.