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Design and Analysis of Deep Neural Network for Rainfall Prediction System
Abstract
Rainfall prediction is useful for farmers and others to take decision for doing various activities. There are various methods are available for rainfall prediction like machine learning, artificial neural network. In this proposed system we are using deep neural network for rainfall prediction, as deep neural network gives better results than machine learning algorithms. This proposed method is based on classification technique which is supervised learning method in deep neural network, this classification technique we are using for predicting rainfall. As deep neural network are capable for solving difficult task than machine learning algorithms. We are using adam optimizer for optimizing deep neural network modal parameters by doing this model gives better prediction accuracy.
References
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