Синтез аппроксимирующей функции при неизвестной структуре модели

Abstract

Ivashchenko A.B., Belovodskiy V.N. “Synthesis of the approximating function in case of the unknown structure of the model”. In this paper an effective technique of synthesis of approximating function, especially in case of unknown structure of model is presented. The algorithm stages are described, namely: formation of bank of functions, selection of perspective functions and elimination of the useless one. The paper discusses the features of software implementation and results of the algorithm testing. As a result of the technique analysis its advantages and disadvantages have been identified. Suggestions on improving of the methodology are offered.