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Indian summer monsoon is a complex and non-linear climatic phenomenon. India being an agricultural country, the monsoon governs the pulse of life for its mankind along with the flora-fauna existing in the subcontinent. It has large impact on agriculture, renewal of fresh-water, and generation of hydro-electricity power. Monsoon is the driving force for development of economy of the country. An attempt is made to study, analyse, and predict Indian summer monsoon. Different machine learning algorithms are used for these purposes. Focus is towards identification of new predictors from different climatic variables influencing the monsoon of the sub-continent and improvement of monsoon prediction models to forecast monsoon with greater accuracy. Various clustering, community detection, and deep learning approaches are utilised to attain the goal.
| Autorius: | Moumita Saha, Pabitra Mitra, |
| Leidėjas: | LAP Lambert Academic Publishing |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 216 |
| ISBN-10: | 365995652X |
| ISBN-13: | 9783659956522 |
| Formatas: | 220 x 150 x 14 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Machine Learning Algorithms for Prediction of Indian Summer Monsoon“
