摘要
机床主轴的动态特性设计可归结为特征值反问题的求解。研究了基于神经网络和遗传算法机床主轴动态特性结构优化设计的求解方法。计算结果及分析表明它是求解一切特征值反问题的有效方法。
The design of machine tool spindle with dynamic properties can be classified as the solution to inverse eigenvalue problem.In this paper,the solution to the optimal structural design of machine tool spindle with dynamic properties based on artificial neural network and genetic algorithm is studied.The method,which combines the advantages of artificial neural network and genetic algorithm,is an universal one of solving inverse eigenvalue problem.
出处
《贵州工业大学学报（自然科学版）》
CAS
2004年第2期85-89,共5页
Journal of Guizhou University of Technology(Natural Science Edition)
关键词
机床主轴
动态特性
优化设计
遗传算法
神经网络
结构优化
machine tool spindle
dynamic property
structural optimization
artificial neural network
genetic algorithm
