Surajit Chattopadhyay
Surajit Chattopadhyay
Associate Professor, Department of Mathematics, Amity University
Verified email at - Homepage
Cited by
Cited by
Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone
G Bandyopadhyay, S Chattopadhyay
International Journal of Environmental Science & Technology 4 (1), 141-149, 2007
Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India
S Chattopadhyay
Acta Geophysica 55 (3), 369-382, 2007
Univariate modelling of summer-monsoon rainfall time series: comparison between ARIMA and ARNN
S Chattopadhyay, G Chattopadhyay
Comptes Rendus Geoscience 342 (2), 100-107, 2010
Emergent universe in the chameleon, f (R) and f (T) gravity theories
S Chattopadhyay, U Debnath
International Journal of Modern Physics D 20 (06), 1135-1152, 2011
Reconstruction of f (G) gravity with the new agegraphic dark-energy model
A Jawad, S Chattopadhyay, A Pasqua
The European Physical Journal Plus 128 (8), 88, 2013
Correspondence between f (G) gravity and holographic dark energy via power-law solution
A Jawad, A Pasqua, S Chattopadhyay
Astrophysics and Space Science 344 (2), 489-494, 2013
Pilgrim dark energy in f(T,T G ) cosmology
S Chattopadhyay, A Jawad, D Momeni, R Myrzakulov
Astrophysics and Space Science 353 (1), 279-292, 2014
On the bias correction of general circulation model output for Indian summer monsoon
N Acharya, S Chattopadhyay, UC Mohanty, SK Dash, LN Sahoo
Meteorological Applications 20 (3), 349-356, 2013
Reconstruction of f(T) gravity from the Holographic Dark Energy
S Chattopadhyay, A Pasqua
Astrophysics and Space Science 344 (1), 269-274, 2013
Identification of trends in rainfall, rainy days and 24 h maximum rainfall over subtropical Assam in Northeast India
D Jhajharia, BK Yadav, S Maske, S Chattopadhyay, AK Kar
Comptes Rendus Geoscience 344 (1), 1-13, 2012
Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach
S Chattopadhyay, D Jhajharia, G Chattopadhyay
Meteorological Applications 18 (1), 70-82, 2011
Comparative study among different neural net learning algorithms applied to rainfall time series
S Chattopadhyay, G Chattopadhyay
Meteorological Applications: A journal of forecasting, practical …, 2008
Identification of the best hidden layer size for three-layered neural net in predicting monsoon rainfall in India
S Chattopadhyay, G Chattopadhyay
Journal of Hydroinformatics 10 (2), 181-188, 2008
Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland
S Chattopadhyay, G Bandyopadhyay
International Journal of Remote Sensing 28 (20), 4471-4482, 2007
A holographic reconstruction of the modifiedf(R) Horava-Lifshitz gravity with scale factor in power-law form
A Jawad, S Chattopadhyay, A Pasqua
Astrophysics and Space Science 346 (1), 273-278, 2013
Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach
G Chattopadhyay, S Chattopadhyay
Computers & Geosciences 35 (9), 1925-1932, 2009
Holographic reconstruction of f (G) gravity for scale factors pertaining to emergent, logamediate and intermediate scenarios
A Jawad, A Pasqua, S Chattopadhyay
The European Physical Journal Plus 128 (12), 156, 2013
Mann–Kendall trend analysis of tropospheric ozone and its modeling using ARIMA
G Chattopadhyay, P Chakraborthy, S Chattopadhyay
Theoretical and Applied Climatology 110 (3), 321-328, 2012
A reconstruction of modified holographic Ricci dark energy in f(R, T) gravity
A Pasqua, S Chattopadhyay, I Khomenko
Canadian Journal of Physics 91 (8), 632-638, 2013
A neurocomputing approach to predict monsoon rainfall in monthly scale using SST anomaly as a predictor
N Acharya, S Chattopadhyay, MA Kulkarni, UC Mohanty
Acta Geophysica 60 (1), 260-279, 2012
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