Artificial Neural Network Model for Weather Predication
Ratna Nayak. Article: Artificial Neural Network Model for Weather Predication. IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization ICWCCV 2015(3):13-16, September 2015. BibTeX
@article{key:article, author = "Ratna Nayak", title = "Article: Artificial Neural Network Model for Weather Predication", journal = "IJAIS Proceedings on International Conference and Workshop on Communication, Computing and Virtualization", year = 2015, volume = "ICWCCV 2015", number = 3, pages = "13-16", month = "September", note = "Published by Foundation of Computer Science, New York, USA" }
Abstract
Weather prediction is stimulating area of research for scientists. In this paper the application of artificial neural networks model to predict the weather has been proposed. Weather parameters like maximum temperature, minimum temperature and relative humidity etc. has been predicted. Execution of predictive modeling, the key criteria is always meticulousness. Using prediction model trying to predict future weather condition based upon above parameters by Artificial Neural Network. The model performance is analogized with Multi layered perceptron network. The proposed network is trained with actual data of the 10 years of Mumbai, Maharashtra and tested which comes from meteorological department. ANN is used with C4. 5 for classification.
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Keywords
Artificial Neural Networks, Weather Prediction, Single Layer Perceptron, Multi Layer Perceptron, Back Prapogation, C4.5.