Savka N. Methods of identification interval models the characteristics of the environment monitoring recurrent laryngeal nerve

In the thesis the topical scientific and technical problem of development of mathematical models of characteristics of environment monitoring of recurrent laryngeal nerve is solved. Method of structural and parametric identification of mathematical models with radial basis functions in terms of interval uncertainty is developed. The algorithm of method realization is shown.The software package based on the method of identification of interval models with radial basis functions is developed. The information technology of detection of the recurrent laryngeal nerve during surgery on the thyroid gland by module of interval estimation the distance from the point of irritation to the recurrent laryngeal nerve is improved.