FOREX Press I. J. of Electrical & Electronics Research
Support Open Access

Research Article |

System Modelling and Identification for EEG Monitoring using Random Vector Functional Link Network

Author(s): Rakesh Kumar Pattanaik1, Binod Kumar Pattanayak2 and Mihir Narayan Mohanty3

Publisher : FOREX Publication

Published : 30 January 2023

e-ISSN : 2347-470X

Page(s) : 10-14




Rakesh Kumar Pattanaik*, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India; Email: rakeshpattanaik.888@gmail.com

Binod Kumar Pattanayak, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India; Email: binodpattanayak@soa.ac.in

Mihir Narayan Mohanty, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India; Email: mihir.n.mohanty@gmail.com

    [1] Kumpati S. Narendra, and Kannan Parthasarathy, “Identification and Control of Dynamical Systems using neural networks”, IEEE Transactions on Neural Networks, 1990, vol.1, No.1.March. [Cross Ref]
    [2] K. S. Narendra and K. Parthasarathy, “Identification and control of dynamical systems using neural networks.” IEEE Trans. Neural Networks, 1990, vol. 1, no. 1, pp. 4–27, March. [Cross Ref]
    [3] Jagtap, Pushpak and G. N. Pillai. 2014. “Comparison of Extreme-ANFIS and ANFIS Networks for Regression Problems.” Souvenir of the IEEE International Advance Computing Conference, IACC 2014, 1190–94. [Cross Ref]
    [4] H.-C. Hsin, C.-C. Li, M. Sun, and R. J. Sclabassi, “An Adaptive Training Algorithm for Back-Propagation Neural Networks,” IEEE Transactions on Systems, Man, and Cybernetics, 1995, vol. 25, no. 3, pp. 512–514. [Cross Ref]
    [5] Huang, Guang Bin, Qin Yu Zhu, and Chee Kheng Siew. “Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks.” IEEE International Conference on Neural Networks - Conference Proceedings 2, 2004,985–90. [Cross Ref]
    [6] L. Tang, Y. Wu, L. Yu, A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting, Appl. Soft Compute, 2018, 70, 1097–1108, http://dx.doi.org/10.1016/j.asoc.2017.02. 013. [Cross Ref]
    [7] L. Zhang, P. N. Suganthan, “A comprehensive evaluation of random vector functional link networks”, Information Sciences, (2016), DOI: http://dx.doi.org/10.1016/j.ins.2015.09.025. [Cross Ref]
    [8] G S Arun Kumar, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram (2022), LoRa enabled Real-time Monitoring of Workers in Building Construction Site. IJEER 10(1), 41-50. DOI: 10.37391/IJEER.100106. [Cross Ref]
    [9] Panda S, Mohanty MN. Performance analysis of LMS-based algorithms used for impulsive noise cancellation. International Conference on Circuit, Power and Computing Technologies ICCPCT, 2016, pp. 1-4. [Cross Ref]
    [10] Dash S, Mohanty MN. Identification of System with Non-stationary Signal Using Modified Wilcoxon Approach. In Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) ,2013, Springer, Berlin, Heidelberg, pp. 425-430. [Cross Ref]
    [11] Prasad, B., Kumar, R., & Singh, M Performance Analysis of Heat Exchanger System Using Deep Learning Controller. IJEER, 2022, Vol-10, no-2, pp-327-334. [Cross Ref]
    [12] Kasiselvanathan, M., Lakshminarayanan, S., Prasad, J., Gurumoorthy, K. B., & Devaraj, S. APerformance Analysis of MIMO System Using Fish Swarm Optimization Algorithm. International Journal of Electrical and Electronics Research, 2022, Vol-10, no-2, pp-167-170. [Cross Ref]
    [13] Laui, X. “State estimation based inverse dynamic controller for hybrid system using artificial neural network. The International Journal of Analytical and Experimental Modal Analysis, 12. Vol-8, no- 1, pp - 10-18. [Cross Ref]
    [14] Laui, X. “Direct digital control scheme for controlling hybrid dynamic systems using ANN state estimator and inverse dynamics controller. The International Journal of Analytical and Experimental Modal Analysis, 12. 2020, Vol 8, no-1, pp 1-9. [Cross Ref]
    [15] Pattanaik, R. K., & Mohanty, M. N. (2022). Nonlinear system identification for speech model using linear predictive coefficients based radial basis function. Journal of Information and Optimization Sciences, 43(5), 1139-1150. [Cross Ref]
    [16] Pattanaik, R. K., Mohapatra, S. K., Mohanty, M. N., & Pattanayak, B. K. (2022). System identification using neuro fuzzy approach for IoT application. Measurement: Sensors, 24, 100485. [Cross Ref]
    [17] Yogendra Narayan, Meet Kumari and Rajeev Ranjan (2022), SEMG Signals Identification Using DT And LR Classifier by Wavelet-Based Features. IJEER 10(4), 822-825. DOI: 10.37391/IJEER.100410. [Cross Ref]
    [18] Anurag. Kumar, Mihir N. Mohanty, and Rout ray Aurobindo. "Design of support vector machines with time-frequency kernels for classification of EEG signals" 2010 IEEE Students Technology Symposium (TechSym). IEEE,2010. [Cross Ref]

Rakesh Kumar Pattanaik, Binod Kumar Pattanayak and Mihir Narayan Mohanty (2023), System Modelling and Identification for EEG Monitoring using Random Vector Functional Link Network. IJEER 11(1), 10-14. DOI: 10.37391/IJEER.110102.