共 50 条
- [21] A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions [J]. ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, 2022, 73 (05):
- [22] CONVERGENCE TIME ON THE RS MODEL FOR NEURAL NETWORKS [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 1991, 2 (03): : 711 - 717
- [25] Variable Order Fractional Gradient Descent Method and Its Application in Neural Networks Optimization [J]. 2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 109 - 114
- [26] A new spectral conjugate gradient method for unconstrained optimization and its application in neural networks [J]. JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2025, 36 (03): : 326 - 332
- [28] Weight and Gradient Centralization in Deep Neural Networks [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2021, PT IV, 2021, 12894 : 227 - 239