New Approach Using Machine Learning Techniques for Rainfall Prediction - Srinivas Konda,Kavitha Rani Balmuri
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This book discusses the rainfall prediction. Rainfall prediction is an active topic for researchers to facilitate taking decision about crop and irrigation cycles in understanding weather and climate patterns. In the context of Indiäs frequent changing climatic conditions the research on the rainfall prediction has gained lot of importance in recent days. In recent past rainfall prediction models using soft ... Täielik kirjeldus
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Kirjeldus
This book discusses the rainfall prediction. Rainfall prediction is an active topic for researchers to facilitate taking decision about crop and irrigation cycles in understanding weather and climate patterns. In the context of Indiäs frequent changing climatic conditions the research on the rainfall prediction has gained lot of importance in recent days. In recent past rainfall prediction models using soft computing techniques have been very popular among the researchers however these models found to be complex and present poor generalization ability and generates less accuracy in prediction. This motivated to further investigate and improve the model development. In this work few machine learning techniques and evolutionary techniques are effectively used to obtain competitive results for long range rainfall prediction.
Lisateave
| Autor | Srinivas Konda, Kavitha Rani Balmuri |
|---|---|
| Kirjastaja | LAP LAMBERT Academic Publishing |
| Väljalaskeaasta | 2019 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9786139449446 |