7765

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

An Information Theoretic Approach to Neural Network Based System Identification

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-4244-2007-0

Наименование конференции: 

  • Control and Communications, 2009. SIBCON 2009. International Siberian Conference on

Наименование источника: 

  • Control and Communications, 2009. SIBCON 2009. International Siberian Conference on

Обозначение и номер тома: 

Т. 1

Город: 

  • Piscataway, USA

Издательство: 

  • IEEE

Год издания: 

2009

Страницы: 

100-107
Аннотация
The paper presents an approach to system identification of input/output mappings of non-linear stochastic systems in accordance to an information-theoretic criterion. At that, a parameterized description of the system under study is utilized combined with a corresponding technique of estimation of the mutual information (in the Shannon sense), leading, finally, to a problem of the finite dimensional optimization. Solving the latter is based on applying ideas of papers on using neural networks within problems of optimization of continuous functions.

Библиографическая ссылка: 

Чернышев К.Р. An Information Theoretic Approach to Neural Network Based System Identification / Control and Communications, 2009. SIBCON 2009. International Siberian Conference on. Piscataway, USA: IEEE, 2009. Т. 1. С. 100-107.