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IEEE Transactions on Neural Networks|March 19, 2010
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifoldsSimone FioriNeural Networks : the Official Journal of the International Neural Network Society|November 5, 2008
Lie-group-type neural system learning by manifold retractionsSimone FioriIEEE Transactions on Neural Networks|October 11, 2011
Riemannian-gradient-based learning on the complex matrix-hypersphereSimone FioriIEEE Transactions on Neural Networks|March 24, 2011
Extended Hamiltonian learning on Riemannian manifolds: theoretical aspectsSimone FioriNeural Computation|November 25, 2003
Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neuronsSimone FioriNeural Networks : the Official Journal of the International Neural Network Society|September 19, 2003
Neural independent component analysis by 'maximum-mismatch' learning principleSimone FioriInternational Journal of Neural Systems|December 14, 2004
Relative uncertainty learning theory: an essaySimone FioriInternational Journal of Neural Systems|May 3, 2008
Learning by criterion optimization on a unitary unimodular matrix groupSimone FioriComputational Intelligence and Neuroscience|May 17, 2008
Asymmetric variate generation via a parameterless dual neural learning algorithmSimone FioriNeural Computation|December 19, 2007
A study on neural learning on manifold foliations: the case of the Lie group SU(3)Simone FioriPageof 3