Neural network explanation using inversion

DOI10.1016/J.NEUNET.2006.07.005zbMath1158.68454OpenAlexW2000257498WikidataQ51931488 ScholiaQ51931488MaRDI QIDQ866739

Emad W. Saad, Donald C. II Wunsch

Publication date: 14 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.07.005

zbMATH Keywords

hyperplanesinversionevolutionary algorithmrule extractionexplanation capability of neural networksneural network explanationpedagogical

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Generating rules with predicates, terms and variables from the pruned neural networks ⋮ Towards a mathematical framework to inform neural network modelling via polynomial regression ⋮ Extracting Boolean and probabilistic rules from trained neural networks

Uses Software

• UCI-ml

Cites Work

• Unnamed Item

This page was built for publication: Neural network explanation using inversion