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Dr. Sarat Chandra Nayak
Dr. Sarat Chandra Nayak
Professor, GITAM University Hyderabad, India. Prev. Yonsei University South Korea,
Verified email at gitam.edu - 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
2712014
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
672019
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
662017
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
Estimating stock closing indices using a GA-weighted condensed polynomial neural network
SC Nayak, BB Misra
Financial Innovation 4 (1), 21, 2018
592018
A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
SC Nayak, BB Misra
Financial Innovation 5 (1), 38, 2019
412019
Extreme learning with chemical reaction optimization for stock volatility prediction
SC Nayak, BB Misra
Financial Innovation 6 (1), 16, 2020
372020
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
322017
Efficient financial time series prediction with evolutionary virtual data position exploration
SC Nayak, BB Misra, HS Behera
Neural Computing and Applications, 2017
312017
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
292016
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
272012
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
222020
A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting
S Behera, SC Nayak, AVSP Kumar
Archives of Computational Methods in Engineering 30 (7), 4401-4448, 2023
202023
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
202021
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
202019
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
202018
Intelligent financial forecasting with an improved chemical reaction optimization algorithm based dendritic neuron model
SC Nayak, S Dehuri, SB Cho
IEEE Access 10, 130921-130943, 2022
192022
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
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
182016
Prediction of life insurance premium during pre-and post-COVID-19: A higher-order neural network approach
S Das, J Nayak, S Nayak, S Dey
Journal of The Institution of Engineers (India): Series B 103 (5), 1747-1773, 2022
172022
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