Citation Guide¶
If you use Feature Extraction CUDA ELM in your research, please cite the following:
BibTeX¶
@software{yin2025featureelm,
author = {Yin, Beili},
title = {Feature Extraction {CUDA} {ELM}: {GPU}-accelerated Extreme Learning Machine with Composable Architecture},
year = {2021-2026},
url = {https://github.com/e-choness/feature_extraction_cuda_elm},
note = {MIT License}
}
APA Format¶
Yin, B. (2021-2026). Feature Extraction CUDA ELM: GPU-accelerated Extreme Learning Machine with composable architecture. Retrieved from https://github.com/e-choness/feature_extraction_cuda_elm
Chicago Style¶
Yin, Beili. "Feature Extraction CUDA ELM: GPU-accelerated Extreme Learning Machine with Composable Architecture." Accessed 2021-2026. https://github.com/e-choness/feature_extraction_cuda_elm.
Plain Text¶
Yin, B. (2021-2026). Feature Extraction CUDA ELM. https://github.com/e-choness/feature_extraction_cuda_elm
Citing Underlying Algorithms¶
The library implements algorithms from the following seminal works. Please cite these papers when using the corresponding methods:
Extreme Learning Machine (ELM) & Batch ELM¶
Huang, G. B., Zhu, Q. Y., & Siew, C. K. (2006). "Extreme learning machine: Theory and applications." Neurocomputing, 70(1–3), 489–501.
@article{huang2006elm,
author = {Huang, Guang-Bin and Zhu, Qin-Yu and Siew, Chee-Kheong},
title = {Extreme learning machine: theory and applications},
journal = {Neurocomputing},
year = {2006},
volume = {70},
number = {1-3},
pages = {489--501}
}
Online Sequential ELM (OS-ELM)¶
Liang, N. Y., Huang, G. B., Saratchandran, P., & Sundararajan, N. (2006). "A fast and accurate online sequential learning algorithm for feedforward networks." IEEE Transactions on Neural Networks, 17(6), 1411–1423.
@article{liang2006oselm,
author = {Liang, Nan-Ying and Huang, Guang-Bin and Saratchandran, P. and Sundararajan, N.},
title = {A fast and accurate online sequential learning algorithm for feedforward networks},
journal = {IEEE Transactions on Neural Networks},
year = {2006},
volume = {17},
number = {6},
pages = {1411--1423}
}
Multilayer ELM (ML-ELM) & ELM Autoencoder¶
Kasun, L. L. C., Yang, Y., Huang, G. B., & Zhou, Z. (2013). "Extreme learning machine for multilayer perceptron and autoencoder feature learning." IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(6), 1341–1356.
@article{kasun2013mlelm,
author = {Kasun, Liyanaarachchi Lekamalage Chaminda and Yang, Yang and Huang, Guang-Bin and Zhou, Zhiping},
title = {Extreme learning machine for multilayer perceptron and autoencoder feature learning},
journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
year = {2013},
volume = {43},
number = {6},
pages = {1341--1356}
}
Radial Basis Function (RBF) Networks¶
Broomhead, D. S., & Lowe, D. (1988). "Multivariable functional interpolation and adaptive networks." Complex Systems, 2, 321–355.
@article{broomhead1988rbf,
author = {Broomhead, David S. and Lowe, David},
title = {Multivariable functional interpolation and adaptive networks},
journal = {Complex Systems},
year = {1988},
volume = {2},
pages = {321--355}
}
Moody, J., & Darken, C. J. (1989). "Fast learning in networks of locally-tuned processing units." Neural Computation, 1(2), 281–294.
@article{moody1989rbf,
author = {Moody, John and Darken, Christian J.},
title = {Fast learning in networks of locally-tuned processing units},
journal = {Neural Computation},
year = {1989},
volume = {1},
number = {2},
pages = {281--294}
}
Questions?¶
If you have questions about how to cite this project, please open a GitHub issue.