3 papers
cs.LG2025
A Hamiltonian driven Geometric Construction of Neural Networks via the Lognormal family, Application to Financial Fraud Detection and to Network Security
Prosper Rosaire Mama Assandje, Landry Foka Marius, Arnaud Gires Fobasso Tchinda +3
We presents a method for constructing neural networks intrinsically on statistical manifolds via the lognormal distribution. We demonstrate this approach by formulating a neural ne…
cs.NE2015
Study of all the periods of a Neuronal Recurrence Equation
Serge Alain Ebélé, Renè Ndoundam
We characterize the structure of the periods of a neuronal recurrence equation. Firstly, we give a characterization of k-chains in 0-1 periodic sequences. Secondly, we characterize…
cs.NE2011
Period-halving Bifurcation of a Neuronal Recurrence Equation
René Ndoundam
We study the sequences generated by neuronal recurrence equations of the form . From a neuronal recurrence equation of memory size $…