Herein, you will find two variants of radial basis function neural network (RBF-NN) for chaotic time series prediction task. In particular, I implemented RBF with conventional and compared the performance with spatio-temporal RBF-NN for Mackey-Glass time series prediction.
* For citations see [cite as] section
인용 양식
Shujaat Khan (2026). Chaotic Time Series Prediction using Spatio-Temporal RBF-NN (https://kr.mathworks.com/matlabcentral/fileexchange/69523-chaotic-time-series-prediction-using-spatio-temporal-rbf-nn), MATLAB Central File Exchange.
검색 날짜: .
Khan, Shujaat, et al. “A Fractional Gradient Descent-Based RBF Neural Network.” Circuits, Systems, and Signal Processing, vol. 37, no. 12, Springer Nature America, Inc, May 2018, pp. 5311–32, doi:10.1007/s00034-018-0835-3.
Khan, Shujaat, et al. “A Fractional Gradient Descent-Based RBF Neural Network.” Circuits, Systems, and Signal Processing, vol. 37, no. 12, Springer Nature America, Inc, May 2018, pp. 5311–32, doi:10.1007/s00034-018-0835-3.
APA
Khan, S., Naseem, I., Malik, M. A., Togneri, R., & Bennamoun, M. (2018). A Fractional Gradient Descent-Based RBF Neural Network. Circuits, Systems, and Signal Processing, 37(12), 5311–5332. Springer Nature America, Inc. Retrieved from https://doi.org/10.1007%2Fs00034-018-0835-3
BibTeX
@article{Khan_2018,
doi = {10.1007/s00034-018-0835-3},
url = {https://doi.org/10.1007%2Fs00034-018-0835-3},
year = 2018,
month = {may},
publisher = {Springer Nature America, Inc},
volume = {37},
number = {12},
pages = {5311--5332},
author = {Shujaat Khan and Imran Naseem and Muhammad Ammar Malik and Roberto Togneri and Mohammed Bennamoun},
title = {A Fractional Gradient Descent-Based {RBF} Neural Network},
journal = {Circuits, Systems, and Signal Processing}
}
Khan, Shujaat, et al. “A Novel Adaptive Kernel for the RBF Neural Networks.” Circuits, Systems, and Signal Processing, vol. 36, no. 4, Springer Nature, July 2016, pp. 1639–53, doi:10.1007/s00034-016-0375-7.
Khan, Shujaat, et al. “A Novel Adaptive Kernel for the RBF Neural Networks.” Circuits, Systems, and Signal Processing, vol. 36, no. 4, Springer Nature, July 2016, pp. 1639–53, doi:10.1007/s00034-016-0375-7.
APA
Khan, S., Naseem, I., Togneri, R., & Bennamoun, M. (2016). A Novel Adaptive Kernel for the RBF Neural Networks. Circuits, Systems, and Signal Processing, 36(4), 1639–1653. Springer Nature. Retrieved from https://doi.org/10.1007%2Fs00034-016-0375-7
BibTeX
@article{Khan_2016,
doi = {10.1007/s00034-016-0375-7},
url = {https://doi.org/10.1007%2Fs00034-016-0375-7},
year = 2016,
month = {jul},
publisher = {Springer Nature},
volume = {36},
number = {4},
pages = {1639--1653},
author = {Shujaat Khan and Imran Naseem and Roberto Togneri and Mohammed Bennamoun},
title = {A Novel Adaptive Kernel for the {RBF} Neural Networks},
journal = {Circuits, Systems, and Signal Processing}
}
Sadiq, Alishba, et al. “Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks.” 2018 3rd {IEEE} International Conference on Emerging Trends in Engineering, Sciences and Technology ({ICEEST}), {IEEE}, 2018
