CAJ | 학술논문

将遗传算法用于模糊系统的建模中,在分析经典遗传算法基本原理的基础上,提出了算法的改进措施;重点阐述了模糊系统中遗传与变异的运用,从而提出了一种具有很强进化能力的模糊规则生成算法,为智能系统获得模糊规则提供了一种有效方法.模拟结果验证了该算法的正确性.
장유전산법용우모호계통적건모중,재분석경전유전산법기본원리적기출상,제출료산법적개진조시;중점천술료모호계통중유전여변이적운용,종이제출료일충구유흔강진화능력적모호규칙생성산법,위지능계통획득모호규칙제공료일충유효방법.모의결과험증료해산법적정학성.
Genetic algorithm (GA) is applied to modeling fuzzy systems.After analyzing the basic principles of genetic algorithms, modified measures are proposed. The inheritance and aberrance of genetic algorithms in fuzzy systems are emphatically discussed. Thus a method with strong evolving ability to automatically produce fuzzy rules is presented. It is a new way for intelligent systems to acquire fuzzy rules. The experiments show that it is practicable in application.