75128

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Pattern Regions As A Basis For Logical Inference In Columns-Based Intelligent Systems

ISBN/ISSN: 

2229-7723

DOI: 

10.47750/pnr.2023.14.S01.46

Наименование источника: 

  • Journal of Pharmaceutical Negative Results

Обозначение и номер тома: 

Vol. 14, Special Issue 01

Город: 

  • Mumbai

Издательство: 

  • ResearchTrentz

Год издания: 

2023

Страницы: 

407-422
Аннотация
In columns-based intelligent systems, basic problems serve as the basis for solving all other problems. The article deals with the solution of basic problems for the pattern regions, which originally arose as a natural means of ensuring operation in the presence of interference. Basic concepts and definitions are given. The formulation of basic problems for pattern regions is described and their solution is given using a general universal method based on an element-by-element comparison of patterns. Further, the solution of basic problems for pattern regions using a more efficient intersection method is considered. The solution scheme and an explanatory example are described in detail. In conclusion, it is shown that memorizing pattern regions under certain names means memorizing the IF-THEN rules, in the conditional part of which connectives AND, OR, NOT and variables with a universal quantifier are used.

Библиографическая ссылка: 

Чесноков А.М. Pattern Regions As A Basis For Logical Inference In Columns-Based Intelligent Systems // Journal of Pharmaceutical Negative Results. 2023. Vol. 14, Special Issue 01. С. 407-422.