Batch gradient based smoothing L 2/3 regularization for training pi-sigma higher-order networks
Abstract A Pi-Sigma neural network (PSNN) is a kind of neural network architecture that blends the structure of conventional neural networks with the ideas of polynomial approximation. Training a PSNN requires modifying the weights and coefficients of the polynomial functions to reduce the error bet...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-08324-4 |
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