摘要
遗传算法(GA)是群智能领域的主要算法之一,用来求解非线性复杂问题或不确定性问题。近年来遗传算法被应用于人工智能领域,与粗糙集和模糊集等结合应用,取得了很好的进展与效果。本文从遗传算法"在人工神经网络中的应用"和"与模糊控制结合"两个方面,研究了遗传算法在人工智能领域的应用,经理论和大量的实例表明该算法鲁棒性强,具有很好的适用性。未来遗传算法还会不断发展,相信除了在人工智能领域的广泛应用之外,在大数据分析与数据挖掘方面也会有很好的应用前景。
Genetic algorithm（GA） is one of the main algorithms in swarm intelligence, which is used to solve the problems of complex nonlinear and uncertain. In recent years, genetic algorithm has been applied in the field of artificial intelligence, combined with rough set and fuzzy set. This paper studies the application of genetic algorithm in artificial intelligence field from two aspects：genetic algorithm, the application of artificial neural network and fuzzy control. The theory and a large number of examples show that the algorithm is robust and has good applicability. Genetic algorithm in the future will continue to develop, in addition to a wide range of applications in the field of artificial intelligence. We have reason to believe that the big data analysis and data mining will have a very good application prospect.
出处
《南方职业教育学刊》
2015年第5期96-99,共4页
Journal of Southern Vocational Education
基金
广东省清远市产学研结合项目"替代电镀及真空镀的特种涂料的研究与应用"(2013D002)
关键词
遗传算法
人工智能
人工神经网络
模糊控制
鲁棒性
genetic algorithm
artificial intelligence
artificial neural network
fuzzy control
robustness
