Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 1

decisions tree Related Publications

1 Comparative Study - Three Artificial Intelligence Techniques for Rain Domain in Precipitation Forecast

Authors: Zalinda Othman, Abdul Razak Hamdan, Azuraliza Abu Bakar, Nabilah Filzah Mohd Radzuan, Andi Putra

Abstract:

Precipitation forecast is important in avoid incident of natural disaster which can cause loss in involved area. This review paper involves three techniques from artificial intelligence namely logistic regression, decisions tree, and random forest which used in making precipitation forecast. These combination techniques through VAR model in finding advantages and strength for every technique in forecast process. Data contains variables from rain domain. Adaptation of artificial intelligence techniques involved on rain domain enables the process to be easier and systematic for precipitation forecast.

Keywords: Logistic Regression, decisions tree, random forest, VAR model

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1658