A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3)

DOI10.1162/neco.2008.03-07-489zbMath1147.68626OpenAlexW1964900693WikidataQ46846003 ScholiaQ46846003MaRDI QIDQ5460203

Simone Fiori

Publication date: 5 May 2008

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

Full work available at URL: https://doi.org/10.1162/neco.2008.03-07-489

zbMATH Keywords

Riemannian-gradient-based optimization on a Lie group

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Constraint optimization and SU(N) quantum control landscapes ⋮ Lie-group-type neural system learning by manifold retractions ⋮ Conjugate gradient algorithm for optimization under unitary matrix constraint

Cites Work

• Approximating the exponential from a Lie algebra to a Lie group
• Three-transmit-antenna space-time codes based on SU(3)
• Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay

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