A minor subspace algorithm based on neural Stiefel dynamics.
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.
Fiori
Simone
S
Faculty of Engineering, Perugia University, Loc. Pentima bassa, 21. I-05100 TERNI, Italy. sfr@unipg.it
D000465:Algorithms; D008962:Models, Theoretical; D016571:Neural Networks, Computer