Efficient Weather Prediction By Back-Propagation Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract: Artificial Neural Networks (ANNs) have been applied extensively to both regress and classify weather phenomena. While one of the core strengths of neural networks is rendering accurate predictions with noisy data sets, there is currently not a significant amount of research focusing on whether ANNs are capable of producing accurate predictions of relevant weather variables from small-scale, imperfect datasets. Our paper makes effort to use back propagation algorithm to train the network. So, that it can help in predicting the future weather.
Authors and Affiliations
Manisha Kharola , Dinesh Kumar
Keywords
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- EP ID EP126640
- DOI 10.9790/0661-16345558
- Views 100
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