Machine Learning Algorithms Prediction by Saha Moumita (8 results)

Condition: New.

Taschenbuch. Condition: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 216 pp. Englisch.

Paperback. Condition: Brand New. 216 pages. 8.66x5.91x0.49 inches. In Stock.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch.

Condition: New. Print on Demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha MoumitaMoumita Saha has completed her PhD degree from Computer Science & Engineering at Indian Institute of Technology Kharagpur in 2016. She has received her M.Tech in Computer Science & Technology from BESU Shibpur in 2012 and.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.