@article{(Open Science Index):https://publications.waset.org/pdf/9996952,
	  title     = {Comparative Study - Three Artificial Intelligence Techniques for Rain Domain in Precipitation Forecast},
	  author    = {Nabilah Filzah Mohd Radzuan and  Andi Putra and  Zalinda Othman and  Azuraliza Abu Bakar and  Abdul Razak Hamdan},
	  country	= {},
	  institution	= {},
	  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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {12},
	  year      = {2013},
	  pages     = {930 - 935},
	  ee        = {https://publications.waset.org/pdf/9996952},
	  url   	= {https://publications.waset.org/vol/84},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 84, 2013},
	}