Multi layer perceptron model in pattern recognition of surface parameters during pre-monsoon thunderstorm

Authors

  • SUTAPA CHAUDHURI
  • SURAJIT CHATTOPADHYAY

DOI:

https://doi.org/10.54302/mausam.v53i4.1656

Keywords:

Multi Layer Perceptron, Fuzzy logic, Pattern recognition, Pre-monsoon thunderstorms, Forecast

Abstract

The concept of Multi Layer Perceptron and Fuzzy logic is introduced in this paper to recognize the pattern of surface parameters pertaining to forecast the occurrence of pre-monsoon thunderstorms over Kolkata (22 ° 32¢ , 88 ° 20¢ ).

 

The results reveal that surface temperature fluctuates significantly from Fuzzy Multi Layer Perceptron (FMLP) model values on thunderstorm days whereas on non-thunderstorm days FMLP model fits well with the surface temperature.

 

The results further indicate that no definite pattern could be made available with surface dew point temperature and surface pressure that can help in forecasting the occurrence of these storms.

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Published

01-10-2002

How to Cite

[1]
S. . CHAUDHURI and S. . CHATTOPADHYAY, “Multi layer perceptron model in pattern recognition of surface parameters during pre-monsoon thunderstorm”, MAUSAM, vol. 53, no. 4, pp. 417–424, Oct. 2002.

Issue

Vol. 53 No. 4 (2002): MAUSAM

Section

Research Papers

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