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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Analysis Of Rain Model For Drought Prone Areas Of India For The Year 2022

( Volume 10 Issue 3,March 2023 ) OPEN ACCESS
Author(s):

Anand M Sharan

Keywords:

Artificial Neural Network (ANN), Fast Fourier Transform (FFT)

Abstract:

Here, the calculations are done using four methods which are: The Root Mean Square (RMS) method, The Fast Fourier Transform (FFT) method, and the Artificial Neural Network (ANN) method. The predicted value is the average value obtained by these methods. This predicted amount is compared with mean rain amount of the past 32 years. The reason for this comparison is that the rain amount’s statistical distribution is that of a normal distribution [1]. In the normal distribution, the mean value has the maximum probability.

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