An Enhanced Approach for Weather Forecasting Using Neural Network

被引：0

作者：

Nayak, Ratna ^{[1
]}

Patheja, P. S. ^{[1
]}

Waoo, Akhilesh ^{[1
]}

机构：

[1] Bansal Inst Sci & Technol, CSE Dept, Bhopal, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 2 | 2012年 / 131卷

关键词：

Artificial Neural Networks; Weather Forecasting; Single Layer Perceptron; Multi Layer Perceptron; Back Prapogation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Weather forecasting is a challenging area. To protect life and property weather warnings is important forecast. The model performance is contrasted with Multi-layered perceptron network. The proposed network is trained with actual data of the past 5years and tested which comes from meteorological department. For weather forecasting the data of temperature, wind speed and relative humidity were used to train and test. The future weather conditions is predicted by trained ANN. The proposed enhanced method for weather forecasting has advantages over other techniques. This model produced the most accurate forecasts in comparison with other existing methods.

引用

页码：833 / 839

页数：7

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