Publisher
Springer Nature Singapore
Reference22 articles.
1. Chen, C.L.P., Liu, Z.: Broad learning system: an effective and efficient incremental learning system without the need for deep architecture. IEEE Trans. Neural Netw. Learn. Syst. 29, 10–24 (2017)
2. Gong, X., Zhang, T., Chen, C.L.P., Liu, Z.: Research review for broad learning system: algorithms, theory, and applications. IEEE Trans. Cybern. 52, 8922–8950 (2021)
3. Chen, C.L.P., Liu, Z., Feng, S.: Universal approximation capability of broad learning system and its structural variations. IEEE Trans. Neural Netw. Learn. Syst. 30(4), 1191–1204 (2018)
4. Zhao, H., Zheng, J., Deng, W., Song, Y.: Semi-supervised broad learning system based on manifold regularization and broad network. IEEE Trans. Circ. Syst. 67, 983–994 (2020)
5. Kong, Y., Wang, X., Cheng, Y., Chen, C.P.: Hyperspectral imagery classification based on semi-supervised broad learning system. Remote Sens. 10(5), 685 (2018)