AN APPLICATION OF RADIAL BASIS NEURAL NETWORK FUNCTION FOR RAINFALL PREDICTION

被引：0
|
作者：
Muthu, Nirmala [1 ]
机构：
[1] Sathyabama Inst Sci & Technol, Dept Math, Chennai, Tamil Nadu, India
来源：
IIOAB JOURNAL | 2020年 / 11卷 / 02期
关键词：
Chennai; rainfall; prediction; neural network algorithm; error measure;
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
This research work deals with the prediction of annual rainfall of Chennai city, India using Neural Network algorithm. Chennai is one of the metropolitan city in India where disaster management is in need of knowing the extreme precipitation in advance for the control of floods and droughts. For this purpose, the monthly rainfall of Chennai is modeled using the Neural Network algorithm. The experimental result shows that the proposed neural network algorithm gives better accuracy. The error measures indicate the proposed model's performance accuracy.
引用
收藏
页码：26 / 30
页数：5
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