Beschreibung
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 Indias 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.
Autorenporträt
Dr. Kavitha Rani is presently working as professor in Department of CSE at CMR Technical Campus, Hyderabad, India. She has published 15 papers in reputed National, International journals and conferences. Her area of interests is Data Mining, Machine learning, Deep Learning and Data Analytics.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
