Weather Classification and Forecasting using Back Propagation Feed-forward Neural Network
نویسنده
چکیده
This paper presents review of application of artificial neural networks in weather classification and prediction; some existing weather forecasting models have limitations and also benefits of neural network are discussed in this paper. Accurate weather prediction is important in today’s world as agricultural sector is widely dependent on it. Since there is non-linearity in weather data therefore the paper focuses on potential method of weather prediction using artificial neural networks and training this network by back propagation algorithm.
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