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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.


The download link of this project follows.

Implementation of Time-Series Prediction using GMDH in MATLAB


Citing This Work

If you wish, you can cite this content as follows.

Cite as:

Mostapha Kalami Heris, Time-Series Prediction using GMDH in MATLAB (URL: https://yarpiz.com/323/ypml120-time-series-prediction-using-gmdh), Yarpiz, 2015.


  1. Prof. E. U Ubeku

    thanks, my PhD student and I have been looking for codes in MATLAB to analyze transformer top-oil. what we got from you will help us.

  2. Very thanks for your useful code. How I can use this code to mulit-step ahead forecasting? This problem not explained in the code. Please add it. Thanks to your answer.

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