MODELING AND FORECAST OF GENERALIZED NONLINEAR INDICATORS OF QUALITY OF ELEMENTS OF INTEGRATED SECURITY SYSTEMS
The paper considers the space of features of a technical object, introduces the forms of a nonlinear or fuzzy-multiple generalized quality indicator of elements of integrated security systems. Single-layer and two-layer neural networks for the formation of these indicators are proposed. The direct and inverse problems of examination are formulated.