The stability domain in the parameters space of recursive neural networks with hypercube topology

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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.

Neural networks, finite-difference matrix equations, finite-difference equations stability, hypercube

Короткий адрес: https://sciup.org/147158721

IDR: 147158721

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