Convergence of batch gradient algorithm with smoothing composition of group $$l_{0}$$ and $$l_{1/2}$$ regularization for feedforward neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s13748-022-00285-3.pdf
Reference24 articles.
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4. Wang, J., Yang, G., Liu, S., Zurada, J.M.: Convergence analysis of multilayer feedforward networks trained with penalty terms: a review. J. Appl. Comput. Sci. Methods 7(2), 89–103 (2015)
5. Wang, J., Xu, C., Yang, X., Zurada, J.M.: A novel pruning algorithm for smoothing feedforward neural networks based on group lasso method. IEEE Trans. Neural Netw. Learn. Syst. 29(5), 2012–2024 (2018)
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