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- W2000923232 abstract "This paper explores the observation made by the Earth Probe Total Ozone Mapping Spectrometer (EP/TOMS) to analyse the predictability of daily total ozone concentration over Kolkata, India. Latitude, longitude, aerosol index, reflectivity, sulphur dioxide index and total ozone concentration of a given day have been used as independent variables to predict total ozone concentration of the next day. Artificial neural network in the forms of a multilayer perceptron, generalized feed forward neural network, a radial basis function network and a modular neural network have been trained to generate predictive models. Performances of the models in the test cases have been judged with the help of four statistical parameters. Finally the models have been compared with multiple linear regression and the potential of generalized feed forward neural network has been established over the other proposed models. Copyright © 2008 Royal Meteorological Society" @default.
- W2000923232 created "2016-06-24" @default.
- W2000923232 creator A5010430577 @default.
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- W2000923232 date "2009-06-01" @default.
- W2000923232 modified "2023-10-11" @default.
- W2000923232 title "Predicting daily total ozone over Kolkata, India: skill assessment of different neural network models" @default.
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- W2000923232 doi "https://doi.org/10.1002/met.97" @default.
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