The article is considering building of the method of prediction of indicators of biomedical images. There was considered structure of the system that have to solve the problem of processing parameters of biomedical images. There was considered the constructing of such system using a parallel-hierarchical network as well.
The paper considers the fundamentals of the design theory of stochastic diagnostic type observers that are invariant to unknown inputs. It presents a description of identification and malfunctions localization problem when the noise is present. The article provides theoretical substantiation of the decomposition procedure of optimal stochastic observers with indefinite inputs and noise. Optimality criterions of such observer are defined. The paper reveals invariance of a differential signal in relation to indefinite, uncontrollable perturbations. Optionally, in a case, when a differential signal has a Gaussian distribution, the procedure of decision making about fault availability is offered.