Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics,Analysis
Reference27 articles.
1. Barron, A.R.: Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Inform. Theory 39(3), 930–945 (1993)
2. Chen, X., Tang, B., Fan, J., Guo, X.: Online gradient descent algorithms for functional data learning. J. Complex 70(101635), 1–14 (2022)
3. Chui, C.K., Li, X., Mhaskar, H.N.: Limitations of the approximation capabilities of neural networks with one hidden layer. Adv. Comput. Math. 5, 233–243 (1996)
4. Cybenko, G.: Approximations by superpositions of sigmoidal functions. Math. Control Signals Syst. 2, 303–314 (1989)
5. Feng, H., Huang, S., Zhou, D.X.: Generalization analysis of CNNs for classification on spheres. IEEE Trans. Neural Netw. Learn. Syst. (2021). https://doi.org/10.1109/TNNLS.2021.3134675
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献