ОПТИМИЗИРАНЕ НА БАЗА ОТ ПРАВИЛА С ГЕНЕТИЧНА РАЗМИТА СИСТЕМА
RULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM
Author(s): Penka Georgieva, Ivan PopchevSubject(s): Social Sciences, Education, Communication studies, Theory of Communication, Higher Education
Published by: Бургаски свободен университет
Keywords: hybrid systems; genetic fuzzy system; artificial intelligence
Summary/Abstract: This paper examines the concepts for designing and building a system that integrates the potential of fuzzy modeling 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
Journal: Компютърни науки и комуникации
- Issue Year: 7/2018
- Issue No: 1
- Page Range: 132-139
- Page Count: 8
- Language: Bulgarian
