Open AccessMulti layer perceptron model in pattern recognition of surface parameters during pre-monsoon thunderstorm
Author(s) -
Sutapa Chaudhuri,
Surajit Chattopadhyay
Publication year - 2002
Publication title -
mausam
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 12
ISSN - 0252-9416
DOI - 10.54302/mausam.v53i4.1656
Subject(s) - thunderstorm , meteorology , storm , dew point , perceptron , surface (topology) , environmental science , climatology , computer science , geology , mathematics , artificial neural network , artificial intelligence , geography , geometry
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.