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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 7    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 7, July 2011 Edition
Weather Forecasting using ANN and PSO
Full Text(PDF, 3000)  PP.  
Author(s)
Kumar Tripathy, Suvendu Mohapatra,Shradhananda Beura, Gunanidhi Pradhan
KEYWORDS
Weather forecasting, Artificial Neural Network, Particle Swarm Optimization Technique, Data mining, Numerical Weather Prediction, Network Forecasting
ABSTRACT
Weather prediction is basically based upon the historical time series data. The basic parameters of weather prediction are maximum temperature, minimum temperature, rainfall, humidity etc. In this paper we are trying to predict the future weather condition based upon above parameters by Artificial Neural Network and Particle Swarm Optimization Technique. The basic Data mining operations are employed to get a useful pattern from a huge volume of data set. Different testing and training scenarios are performed to obtain the accurate result. Experimental results indicate that the proposed approach is useful for weather forecasting.
References
[1]. Paras, Sanjay Mathur, Avinash Kumar, and Mahesh Chandra. “A Feature Based Neural Network Model for Weather Forecasting”(2009).

[2]. H. M. Abdul Kader. “Neural Networks Training Based on Differential Evolution Algorithms Compared with Other Architectures for Weather Forecasting34”. International Journal of Computer Science and Network Security, VOL.9 No.3 March 2009.

[3]. Riccardo Poli · James Kennedy · Tim Blackwell, “Particle swarm optimization An overview” Received: 19 December 2006 / Accepted: 10 May 2007 / Published online: 1 August 2007 © Springer Science + Business Media, LLC 2007.

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