Comparison of Adaline and Multiple Linear Regression Methods for Rainfall Forecasting

被引：3
|
作者：
Sutawinaya, I. P. [1 ]
Astawa, I. N. G. A. [1 ]
Hariyanti, N. K. D. [2 ]
机构：
[1] Politekn Negeri Bali, Dept Elect Engn, Kabupaten Badung, Bali, Indonesia
[2] Politekn Negeri Bali, Dept Business Adm, Kabupaten Badung, Bali, Indonesia
来源：
2ND INTERNATIONAL JOINT CONFERENCE ON SCIENCE AND TECHNOLOGY (IJCST) 2017 | 2018年 / 953卷
关键词：
D O I：
10.1088/1742-6596/953/1/012046
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
Heavy rainfall can cause disaster, therefore need a forecast to predict rainfall intensity. Main factor that cause flooding is there is a high rainfall intensity and it makes the river become overcapacity. This will cause flooding around the area. Rainfall factor is a dynamic factor, so rainfall is very interesting to be studied. In order to support the rainfall forecasting, there are methods that can be used from Artificial Intelligence (AI) to statistic. In this research, we used Adaline for AI method and Regression for statistic method. The more accurate forecast result shows the method that used is good for forecasting the rainfall. Through those methods, we expected which is the best method for rainfall forecasting. here.
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页数：7
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