Result and Performance Analysis of Rainfall Prediction System Based on Deep Neural Network
| Autor: | Akshay R. Naik, A. V. Deorankar, P. B. Ambhore |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
Computer science 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Model parameters 02 engineering and technology Data mining Prediction system computer.software_genre computer |
| Zdroj: | International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :633-638 |
| ISSN: | 2456-3307 |
| Popis: | Rainfall prediction is useful for all people for decision making in all fields, such as out door gamming, farming, traveling, and factory and for other activities. We studied various methods for rainfall prediction such as machine learning and neural networks. There is various machine learning algorithms are used in previous existing methods such as naïve byes, support vector machines, random forest, decision trees, and ensemble learning methods. We used deep neural network for rainfall prediction, and for optimization of deep neural network Adam optimizer is used for setting modal parameters, as a result our method gives better results as compare to other machine learning methods. |
| Databáze: | OpenAIRE |
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