Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification
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arXiv:2609.17654v1 Announce Type: new Abstract: This paper proposes a least squares approach for the training of quadratic neural networks with regularization. The proposed methodology yields a lower bound on the solution of the training optimization problem for the case where the regularization co…
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- 2026-09-17 04:00 · arXiv cs.LG
Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification