Previously, we have shared the implementation of ANFIS for nonlinear regression, in this link. Using the same implementation and converting the time-series modeling, to a function approximation problem, ANFIS is applied to the Time-Series Forecasting problem. The implemented approach, is used to build a model of and predict the global ice volume, based on the observed data in last 440,000 ...

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 ...