|
Research at Burgas Free University >
4. Списание 'Компютърни науки и комуникации' >
2018 Брой 1 >
Please use this identifier to cite or link to this item:
http://research.bfu.bg:8080/jspui/handle/123456789/1688
|
| Title: | ОПТИМИЗИРАНЕ НА БАЗА ОТ ПРАВИЛА СГЕНЕТИЧНА РАЗМИТА СИСТЕМА |
| Other Titles: | RULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM |
| Authors: | Георгиева, Пенка
Попчев, Иван |
| Keywords: | hybrid systems
genetic fuzzy system
artificial intelligence |
| Issue Date: | 2-May-2023 |
| Series/Report no.: | 2018 Брой 1;с. 132-139 |
| Abstract: | This paper examines the concepts for designing and building a system that integrates the potential of fuzzy modelling with the capabilities of genetic algorithms in the process of finding optimal solutions. The rule-based genetic fuzzy system is a hybrid system that aims at optimizing the weight of the rules in the knowledge base of FSSAM. Some results from the optimization process are shown as an illustration of the system’s capabilities. |
| URI: | http://research.bfu.bg:8080/jspui/handle/123456789/1688 |
| ISSN: | 1314-7846 |
| Appears in Collections: | 2018 Брой 1
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
