APPLICATION OF NEURAL NETWORK IN DROUGHT FORECASTING; AN INTENSE LITERATURE REVIEW

Q4 Engineering

International Journal of Computer Aided Engineering and Technology Pub Date : 2019-04-30 DOI:10.34218/ijcet.10.2.2019.019

Akhilesh Kumar Yadu, G. Shrivastava

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引用次数: 2

Abstract

India is the agrarian country. The overall economy of our country is based on agriculture. Although the methods of cultivation are traditional and not hi-tech thus more over 75% of our farmers are dependent on monsoon. Prediction of actual monsoon is a challenge for meteorological scientists. Since the climatic data time series shows highly non-linear and chaotic behavior thus its forecast is still an enigma. Thus, forecasting of climate phenomenon is a challenging issue for the researchers round the globe. However, it is a prime necessity to forecast climatic changes such as Rainfall (daily rainfall, monthly rainfall, heavy rainfall etc.), Flood, Drought, minimum and maximum Temperature, River flow etc. To recognize applications of Artificial Neural Network (ANNs) in weather forecasting, especially in drought forecasting a comprehensive literature review from 2000 to 2017 is done and presented in this paper. In the study, more over 90 contributions have been surveyed and it has been observed that the architecture of ANN such as BPN, RBFN, MLP, ANFIS, ARIMA etc. are found best to forecast chaotic behavior and have efficient enough to forecast drought as well as other weather phenomenon over broader or smaller homogeneous region.

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神经网络在干旱预报中的应用深入的文献综述

印度是一个农业国。我国的整体经济是以农业为基础的。虽然种植方法是传统的，而不是高科技的，因此超过75%的农民依赖季风。对气象科学家来说，预测实际的季风是一个挑战。由于气候数据时间序列表现出高度非线性和混沌性，因此其预测仍然是一个谜。因此，气候现象的预测是全球研究人员面临的一个具有挑战性的问题。然而，预测气候变化，如降雨(日降雨量、月降雨量、强降雨等)、洪水、干旱、最低气温和最高气温、河流流量等，是非常必要的。为了认识人工神经网络(ann)在天气预报特别是干旱预报中的应用，本文对2000 - 2017年的相关文献进行了综述。在本研究中，已有超过90个贡献被调查，并观察到诸如BPN, RBFN, MLP, ANFIS, ARIMA等ANN架构最能预测混沌行为，并且足够有效地预测干旱以及其他更广泛或更小的均匀区域的天气现象。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computer Aided Engineering and Technology Engineering-Engineering (all)

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： IJCAET is a journal of new knowledge, reporting research and applications which highlight the opportunities and limitations of computer aided engineering and technology in today''s lifecycle-oriented, knowledge-based era of production. Contributions that deal with both academic research and industrial practices are included. IJCAET is designed to be a multi-disciplinary, fully refereed and international journal.