# 7765

## Автор(ов):

1

Параметры публикации

Доклад

## Название:

An Information Theoretic Approach to Neural Network Based System Identification

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

Т. 1

## Город:

• Piscataway, USA

• IEEE

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.