| Towards crafting optimal functional link artificial neural networks with RAO algorithms for stock closing prices prediction S Das, SC Nayak, B Sahoo Computational Economics 60 (1), 1-23, 2022 | 14 | 2022 |
| Modeling and forecasting cryptocurrency closing prices with rao algorithm-based artificial neural networks: A machine learning approach SK Nayak, SC Nayak, S Das FinTech 1 (1), 47-62, 2021 | 14 | 2021 |
| Tlbo-fln: Teaching-learning based optimization of functional link neural networks for stock closing price prediction SC Nayak, S Das, MD Ansari International Journal of Sensors Wireless Communications and Control 10 (4 …, 2020 | 14 | 2020 |
| Smart sales prediction of pharmaceutical products SR Dutta, S Das, P Chatterjee 2022 8th International Conference on Smart Structures and Systems (ICSSS), 1-6, 2022 | 12 | 2022 |
| Development and performance analysis of fireworks algorithm-trained artificial neural network (FWANN): A case study on financial time series forecasting SC Nayak, S Das, BB Misra Research Anthology on Artificial Neural Network Applications, 146-165, 2022 | 7 | 2022 |
| An elitist artificial electric field algorithm based random vector functional link network for cryptocurrency prices forecasting SC Nayak, S Das, S Dehuri, SB Cho IEEE Access 11, 57693-57716, 2023 | 6 | 2023 |
| A GA-based polynomial FLANN with exploration and incorporation of virtual data points for financial time series forecasting BS Sanjib Kumar Nayak Subhranginee Das, Sarat Chandra Nayak International Journal of Recent Technology and Engineering 7 (6S), 9, 2019 | 5 | 2019 |
| AEFA-ANN: Artificial electric field algorithm-based artificial neural networks for forecasting crude oil prices SC Nayak, S Das, B Sahoo, B Satyanarayana Embracing Machines and Humanity Through Cognitive Computing and IoT, 87-94, 2023 | 4 | 2023 |
| Estimation of compressive strength of concrete cement using random vector functional link networks: a case study SC Nayak, S Das, BB Misra, SB Cho Soft Computing 28 (15), 8641-8656, 2024 | 2 | 2024 |
| Modeling and forecasting stock closing prices with hybrid functional link artificial neural network S Das, SC Nayak, B Sahoo Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021, 249-259, 2022 | 2 | 2022 |
| Predictive Ability of FLANN on BSE Index BS SC Nayak S Das Journal of Pure and Applied Mathematics 118 (special issue), 2018 | | 2018 |
Dr. Sarat Chandra NayakProfessor, GITAM University Hyderabad, India. Prev. Yonsei University South Korea,Bestätigte E-Mail-Adresse bei gitam.edu