Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

In this paper, a new nonsmooth optimization-based algorithm for solving large-scale regression problems is introduced. The regression problem is modeled as fully-connected feedforward neural networks with one hidden layer, piecewise linear activation, and the <inline-formula><math xmlns=&qu...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov, Marko M. Mäkelä
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	machine learning regression analysis neural networks L1-loss function nonsmooth optimization
Online Access:	https://www.mdpi.com/1999-4893/16/9/444