Geodesic
The stability domain in the parameters space of recursive neural networks with hypercube topology
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematika, mehanika, fizika, no. 7 (2012), pp. 157-160

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The stability conditions are described for the discrete neural networks. The stability domains in the parameters space are constructed. The problem is reduced to the stability problem of finite-difference matrix equations of higher order with delay. The main method to solve the problem is the stability cone.
Keywords: neural networks, finite-difference matrix equations, finite-difference equations stability
Mots-clés : hypercube. 
S. A. Ivanov. The stability domain in the parameters space of recursive neural networks with hypercube topology. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematika, mehanika, fizika, no. 7 (2012), pp. 157-160. http://geodesic.mathdoc.fr/item/VYURM_2012_7_a23/
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