# 61948

## Автор(ов):

1

Параметры публикации

## Тип публикации:

Статья в журнале/сборнике

## Название:

Incomplete Information And Columns-Based Intelligent Systems

Да

1309-4653

## DOI:

10.17762/turcomat.v12i2.2306

## Наименование источника:

• Turkish Journal of Computer and Mathematics Education

Vol. 12, № 2

• Trabzon

2021

## Страницы:

2771-2780
Аннотация
The paper considers columns-based intelligent systems that work under conditions of incomplete information, that is, input patterns are represented by their sub-patterns. The definition of direct and inverse problems under incomplete information is given. The solution of these problems is shown using the method of element-wise comparison of patterns and the intersection method. A relation between system’s ability to work under incomplete information and prediction is shown.

## Библиографическая ссылка:

Чесноков А.М. Incomplete Information And Columns-Based Intelligent Systems // Turkish Journal of Computer and Mathematics Education. 2021. Vol. 12, № 2. С. 2771-2780.