计算智能在系统仿真中的应用

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传统的系统仿真技术主要采用数学建模及数值计算,存在着知识获取瓶颈,难以处理非线性和不精确知识,对数学模型的目标寻优缺乏有效的方法.计算智能(人工神经网、遗传算法、模糊系统)因其鲁棒性、容错性等优点已开始应用于系统仿真.文中介绍计算智能的原理并探讨其在系统仿真中的应用,包括基于神经网的面目标识别、模糊专家系统、基于遗传算法的模糊规则生成.
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