Towards a mathematical framework to inform neural network modelling via polynomial regression

DOI10.1016/j.neunet.2021.04.036zbMath1521.68147arXiv2102.03865MaRDI QIDQ6079052

Rosa Elvira Lillo, Iñaki Ucar, Pablo Morala, Jenny Alexandra Cifuentes

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.03865

zbMATH Keywords

neural networkspolynomial regressionmachine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

An efficient PID-based optimizer loop and its application in De Jong's functions minimization and quadratic regression problems

Cites Work

• Unnamed Item
• Neural network explanation using inversion
• Multilayer feedforward networks are universal approximators

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