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Complemented with nonlinear dynamic forcing and coupling of convective updrafts, downdrafts and cold pools, mountain rainstorms need most proficient implementation of artificial intelligence. Artificial Neural Networks which are trainable self-adaptive systems to learn to solve complex problems from a set of examples and to generalize the acquired knowledge to solve unforeseen problems are the most accomplished candidate for prediction of complex dynamics of rainstorm. In this paper, experiments has been conducted on artificial neural network (ANN) model to predict severe rainstorms that occurred over Almora May 02, 2018 and over Dehradun on April 23,2017 using twelve potential predictors for rainstorm and validated the model results with observation.
"Prediction of mountain rainstorms of Uttarakhand Himalaya using Artificial Intelligence on dynamic NWP model data", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1854 - 1857, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206277.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator