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Time-Series Prediction using GMDH in MATLAB

Time-series prediction can be assumed as a special case of nonlinear regression and function approximation. Hence, nonlinear regression approaches, like Artificial Neural Networks and Group Method of Data Handling (GMDH) can be applied to perform time-series forecasting problems.

In this post, we are going to share with you, the source codes of time-series prediction using GMDH in MATLAB, which is applied to the modeling and prediction of time-series of global ice volume. Previously, the MATLAB implementation of GMDH was shared on Yariz, in this link. The same code is used in this post, to perform time-series modeling and forecasting. If you are familiar with MATLAB programming language, you will find it easy, to use these codes in your research and projects.

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The download link of this project follows.

Implementation of Time-Series Prediction using GMDH in MATLAB

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