使用深度学习和机器学习技术的降雨可视化和预测

T. Aruna, P. Naresh, A. Rajeshwari, M. Hussan, K. G. Guptha
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引用次数: 3

摘要

海量的大信息为预测和研究创造了巨大的前景。信息图是日常生活中常见的景象。一些趋势线解释了使用互动媒体进行天气评估的务实方法。由于以前无法对庞大的数据进行评估,可视化分析工具使得绘制系统质量成为可能。为了更好地了解情况,需要使用地图。图表趋势,如印度的降水已经呈现了美国地区的最大,最小和中等降水。本文正确地说明了印度各省和地区的降水趋势。反复出现的序列突出了极端干燥的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning Techniques
The sheer quantity of big information has created tremendous prospects for forecasts and study. Infographic is a normal sight in everyday life. Several trend lines explain the pragmatic approach to weather assessment using interactive media. Because it was Previously unable to evaluate huge data, visual analytic tools have made plotting the system quality. For a good knowledge of the conditions, maps are used. Graphing trends like The precipitation of India have been presented with the maximum, minimum, and medium precipitation in the U.s Districts. The precipitation trend in India's provinces and territories was correctly illustrated in this article. The recurring sequence highlights extremely dry areas.
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