Аннотация:The paper presents a problem of optimal neural network (NN) design for a given application. The application is described as a mapping RN→R. The design process consists of two stages: selection of NN models which are able to approximate the given application, and an optimization criterion estimation for each selected model with the further choosing of the best NN. A structure of instrumental system for optimal NN design is proposed.