An Investigation of Weather Forecasting using Machine Learning Techniques

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title An Investigation of Weather Forecasting using Machine Learning Techniques
 
Creator Mrs. N.Vanitha
J.Haritha
 
Subject Weather Forecasting
Machine Learning
Types
Methods
Significance
Technique
 
Description Customarily, climate expectations are performed with the assistance of enormous complex models of material science, which use distinctive air conditions throughout a significant stretch of time. In this paper, we studied  a climate expectation  strategy that uses recorded information from  numerous climate stations to prepare basic AI models, which can give usable figures about certain climate conditions for the not so distant future inside a brief  timeframe These conditions are frequently flimsy on account of annoyances of the climate framework, making the models give mistaken estimates.[1] The model are for the most part run on many hubs in an enormous High Performance Computing (HPC) climate which burns through a lot of energy.. The modes can be run on significantly less asset serious conditions. In this paper we describe that the sufficient to be utilized status of the workmanship methods. Moreover, we described that it is valuable to use the climate stations information from various adjoining territories over the information of just the region for which climate anticipating is being performed.
 
Publisher Vandana Publications
 
Date 2021-02-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/680
10.31033/ijemr.11.1.11
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 1 (2021): February Issue; 72-78
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/680/800
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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