Ritanjali Majhi
Orcid: 0000-0001-6610-4732
According to our database1,
Ritanjali Majhi
authored at least 23 papers
between 2007 and 2021.
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Bibliography
2021
On development of novel hybrid and robust adaptive models for net asset value prediction.
J. King Saud Univ. Comput. Inf. Sci., 2021
An application of artificial neural network classifier to analyze the behavioral traits of smallholder farmers in Kenya.
Evol. Intell., 2021
2020
Predicting numbers of successful new products to launch using soft computing techniques: A case of firms from manufacturing sector industries.
J. King Saud Univ. Comput. Inf. Sci., 2020
Development and comparative performance evaluation of neural network classification techniques for manufacturing sector firms on the basis of new product growth rate.
Int. J. Bus. Inf. Syst., 2020
Proceedings of the Evolution in Computational Intelligence, 2020
2015
Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction.
J. King Saud Univ. Comput. Inf. Sci., 2015
Development and performance evaluation of nonlinear and robust adaptive models for prediction of number of customers of mobile phone service providers.
Int. J. Bus. Inf. Syst., 2015
2014
A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection.
Swarm Evol. Comput., 2014
Constrained portfolio asset selection using multiobjective bacteria foraging optimization.
Oper. Res., 2014
Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training.
J. King Saud Univ. Comput. Inf. Sci., 2014
2012
An Investigation on Customer Attitude and Perception towards Internet Banking: A Case Study.
Int. J. Inf. Syst. Soc. Chang., 2012
Expert Syst. Appl., 2012
Development and performance evaluation of neural network classifiers for Indian internet shoppers.
Expert Syst. Appl., 2012
2011
Efficient Prediction of Retail Sales Using Differential Evolution Based Adaptive Model.
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011
2010
Int. J. Comput. Vis. Robotics, 2010
2009
Development and performance evaluation of FLANN based model for forecasting of stock markets.
Expert Syst. Appl., 2009
Efficient prediction of exchange rates with low complexity artificial neural network models.
Expert Syst. Appl., 2009
Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques.
Expert Syst. Appl., 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
2008
Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007