The week's pick
Reseach Article
Forecasting Rainfall based on Computational Intelligent Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 23 |
| Year of Publication: 2018 |
| Authors: H. M. Abdul-Kader, Ibrahim Selim, M. Abd-El Salam, A. Ahmad, M. Mohamed |
10.5120/ijca2018916440
|
H. M. Abdul-Kader, Ibrahim Selim, M. Abd-El Salam, A. Ahmad, M. Mohamed . Forecasting Rainfall based on Computational Intelligent Techniques. International Journal of Computer Applications. 180, 23 ( Feb 2018), 33-36. DOI=10.5120/ijca2018916440
Abstract
Forecast rainfall is a vital process to avoid hazardous causes from the climatic. So, the process of forecasting needs suitable technique has ability to treat with such problem and forecast rainfall accurately. This paper attempt to solve this problem through constructing Artificial Neural Network (ANN) especially Multi-Layer Perceptron (MLP) and applying two training algorithms on the constructed model (MLP) to train and test it. First training algorithm is an optimization algorithm which based on a global search Particle Swarm Optimization (PSO). Second training algorithm is another type of Back Propagation (BP) is Levenberg-Marquardt (LM). Comparing the model of MLP with two training algorithms with another model is Redial Basis Function (RBF). Applying RBF on the same weather data used on two training algorithms. The results approved that MLP based PSO is the most effective comparing with MLP based LM and RBF, through the error value of RMSE for each one.
References
- Rahul Moriwal, and Shiv Kumar Dubey, “Predicting Weather Using Data Mining Techniques,” International Journal of Advanced Engineering &Global Technology (IJAEGT), Vol. 3, pp. 51-59, February 2012.
- Ratna Nayak, P.S. Patheja, and Akhilesh Waoo, “An Enhanced Approach for Weather Forecasting Using Neural Network,” Proceedings of the International Conference on SocProS, Vol. 131, pp. 833–839, December 2011.
- Rahul Moriwal, and Shiv Kumar Dubey, “Predicting Weather Using Data Mining Techniques,” International Journal of Advanced Engineering and Global Technology( IJAEGT), Vol. 3, No. 5,pp. 646-649, May 2015.
- Saduf, and Mohd Arif Wani," Comparative Study of Back Propagation Learning Algorithms for Neural Networks,” International Journal of Advanced Research in Computer Science and Software Engineering (ijarcsse), Vol. 3, PP. 1151- 1156, December 2013. Available online at: www.ijarcsse.com.
- Yojna Arora, Abhishek Singhal, and Abhay Bansal, “A Study of Applications of RBF Network,” International Journal of Computer Application (IJCA), Vol. 94, No. 2, PP. 17-20, May 2014.
- I. El-Feghi , Z. Zubia and S. Abozgaya , “Efficient Weather Forecasting using Artificial Neural Network as Function Approximator,” international journal of neural networks and advanced applications, Vol. 1, pp. 49-55, 2014.
- Russell C. Eberhart, and Yuhui Shi, Particle Swarm Optimization Development, Applications and Resources,” IEEE, 2001.
- Riccardo Poli, James Kennedy, and Tim Blackwell, “Particle swarm optimization An overview,” Springer Science + Business Media, May 2007.
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