在分析论述Hopfield神经网络优化原理的基础上,提出了应用Hopfield神经网络优化原理对滚动轴承结构尺寸进行优化设计的方法。算例结果表明优化得到的设计优于经验设计,是一种有效的滚动轴承优化方法。
This paper proposes the method of applying Hopfield Neural Network in rolling bearing design based on the analysis of its principle and optimum function. Experiment shows that this method outperforms the experiential one, and is proved to be efficient.