Sensitivity Analysis of the Neural Networks Randomized Learning

DOI10.1007/978-3-030-20912-4_5zbMath1529.68256OpenAlexW2946146374MaRDI QIDQ6184690

Grzegorz Dudek

Publication date: 29 January 2024

Published in: Artificial Intelligence and Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-20912-4_5

zbMATH Keywords

feedforward neural networksrandomized learning algorithmsneural networks with random hidden nodes

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Randomized algorithms (68W20)

Cites Work

• Approximation with random bases: pro et contra
• A survey of randomized algorithms for training neural networks
• Insights into randomized algorithms for neural networks: practical issues and common pitfalls

This page was built for publication: Sensitivity Analysis of the Neural Networks Randomized Learning