摘要
以齿轮优化设计为例,分别得出用传统机械设计优化方法和用遗传算法与神经网络协同求解的结果,并进行了比较,体现了遗传算法与神经网络协同求解的特点。结果表明,该方法是非常有效的,在求解优化设计时取得了较为满意的结果。
The results of applying the traditional and the genetic algorithms neural networks,mechanic optimum design methods are obtained based on the optimum design of the gear. And then the two results are compared,the characteristics of genetic algorithms--neural networks is embodied. The result shows that the genetic algorithms--neural networks is an effective method.
出处
《自动化与仪表》
2006年第6期1-3,共3页
Automation & Instrumentation
基金
安徽省教育厅自然科学重点资助项目(2006KJ001A)
关键词
遗传算法
神经网络
优化设计
genetic algorithm
neural network
optimal design