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Ratnadip Adhikari

Orcid: 0000-0003-3383-3538

According to our database1, Ratnadip Adhikari authored at least 14 papers between 2011 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2015
A neural network based linear ensemble framework for time series forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
Neurocomputing, 2015

A mutual association based nonlinear ensemble mechanism for time series forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
Appl. Intell., 2015

2014
A linear hybrid methodology for improving accuracy of time series forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Neural Comput. Appl., 2014

A combination of artificial neural network and random walk models for financial time series forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Neural Comput. Appl., 2014

A meticulous study of various medium access control protocols for wireless sensor networks.
[BibTeX]
[DOI]
Ratnadip Adhikari
J. Netw. Comput. Appl., 2014

Performance evaluation of weights selection schemes for linear combination of multiple forecasts.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Artif. Intell. Rev., 2014

2013
Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Int. J. Appl. Evol. Comput., 2013

PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
,
Laxmi Kant
CoRR, 2013

An Introductory Study on Time Series Modeling and Forecasting
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
CoRR, 2013

A Treatise on Stability of Autonomous and Non-autonomous Systems: Theory and Illustrative Practical Applications
[BibTeX]
[DOI]
Ratnadip Adhikari
CoRR, 2013

A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
CoRR, 2013

2012
Combining multiple time series models through a robust weighted mechanism.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

A Novel Weighted Ensemble Technique for Time Series Forecasting.
[BibTeX]
[DOI]
Ratnadip Adhikari
,
R. K. Agrawal
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting.
[BibTeX]
Ratnadip Adhikari
,
R. K. Agrawal
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011


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