title: A minor subspace algorithm based on neural Stiefel dynamics.
abstract: In the present paper we investigate iterative minor subspace analysis computation by describing a neural approach based on weight flow on Stiefel manifold and by discussing four neural algorithms and a purely algebraic algorithm known from the scientific literature. A comparison of numerical experimental results and computational complexity estimates confirms the effectiveness and efficiency of the proposed approach.
authors.affiliation: Faculty of Engineering, Perugia University, Loc. Pentima bassa, 21. I-05100 TERNI, Italy. sfr@unipg.it
authors.forename: Simone
authors.initials: S
authors.lastname: Fiori
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D016571:Neural Networks, Computer