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Dr. Sarat Chandra Nayak
Dr. Sarat Chandra Nayak
Yonsei University South Korea, Department of Computer Science
Verified email at yonsei.ac.kr - Homepage
Title
Cited by
Cited by
Year
Impact of data normalization on stock index forecasting
SC Nayak, BB Misra, HS Behera
International Journal of Computer Information Systems and Industrial …, 2014
2392014
Index prediction with neuro-genetic hybrid network: A comparative analysis of performance
SC Nayak, BB Misra, HS Behera
2012 International conference on computing, communication and applications, 1-6, 2012
622012
Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices
SC Nayak, BB Misra, HS Behera
Ain Shams Engineering Journal 8 (3), 371-390, 2017
612017
ACFLN: artificial chemical functional link network for prediction of stock market index
SC Nayak, BB Misra, HS Behera
Evolving Systems 10 (4), 567-592, 2019
592019
Estimating stock closing indices using a GA-weighted condensed polynomial neural network
SC Nayak, BB Misra
Financial Innovation 4 (1), 21, 2018
492018
A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
SC Nayak, BB Misra
Financial Innovation 5 (1), 38, 2019
362019
Extreme learning with chemical reaction optimization for stock volatility prediction
SC Nayak, BB Misra
Financial Innovation 6 (1), 16, 2020
302020
Development and Performance Evaluation of Adaptive Hybrid Higher Order Neural Networks for Exchange Rate Prediction
SC Nayak
I.J. Intelligent Systems and Applications 9 (8), 71-85, 2017
282017
Efficient financial time series prediction with evolutionary virtual data position exploration
SC Nayak, BB Misra, HS Behera
Neural Computing and Applications, 2017
272017
An adaptive second order neural network with genetic-algorithm-based training (ASONN-GA) to forecast the closing prices of the stock market
SC Nayak, BB Misra, HS Behera
International Journal of Applied Metaheuristic Computing (IJAMC) 7 (2), 39-57, 2016
272016
Evaluation of normalization methods on neuro-genetic models for stock index forecasting
SC Nayak, BB Misra, HS Behera
2012 World Congress on Information and Communication Technologies, 602-607, 2012
262012
Improving software reliability prediction accuracy using CRO-based FLANN
AK Behera, SC Nayak, CSK Dash, S Dehuri, M Panda
Innovations in Computer Science and Engineering: Proceedings of the Fifth …, 2019
192019
COA-HONN: cooperative optimization algorithm based higher order neural networks for stock forecasting
SC Nayak, MD Ansari
Recent Advances in Computer Science and Communications (Formerly: Recent …, 2021
182021
Artificial chemical reaction optimization based neural net for virtual data position exploration for efficient financial time series forecasting
SC Nayak, BB Misra, HS Behera
Ain Shams Engineering Journal 9 (4), 1731-1744, 2018
182018
On developing and performance evaluation of adaptive second order neural network with GA-based training (ASONN-GA) for financial time series prediction
SC Nayak, BB Misra, HS Behera
Advancements in applied metaheuristic computing, 231-263, 2018
182018
Hybridzing chemical reaction optimization and artificial neural network for stock future index forecasting
SC Nayak, BB Misra, HS Behera
2013 1st International Conference on Emerging Trends and Applications in …, 2013
172013
Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks
SC Nayak, BB Misra, HS Behera
International Journal of Swarm Intelligence 2 (2-4), 229-253, 2016
162016
A pi-sigma higher order neural network for stock index forecasting
SC Nayak, BB Misra, HS Behera
Computational Intelligence in Data Mining-Volume 2: Proceedings of the …, 2015
152015
A fireworks algorithm based Pi-Sigma neural network (FWA-PSNN) for modelling and forecasting chaotic crude oil price time series
SC Nayak
EAI Endorsed Transactions on Energy Web 7 (28), e2-e2, 2020
142020
Forecasting foreign exchange rates using CRO based different variants of FLANN and performance analysis
KK Sahu, SR Sahu, SC Nayak, HS Behera
International Journal of Computational Systems Engineering 2 (4), 190-208, 2016
142016
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