| 机床主轴动态特性优化设计的遗传算法实现 |
| |
| 引用本文： | 管琪明,尹健,李屹,田军. 机床主轴动态特性优化设计的遗传算法实现[J]. 贵州工业大学学报(自然科学版), 2004, 33(2): 85-89 |
| |
| 作者姓名： | 管琪明 尹健 李屹 田军 |
| |
| 作者单位： | 贵州工业大学机械工程与自动化学院,贵州贵阳 550003 |
| |
| 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。
|
| 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 |
| 文章编号： | 1009-0193(2004)02-0085-05 |
| 修稿时间： | 2003-10-25 |
Dynamic Structural Optimization of Machine Tool Spindle Based on Artificial Neural Network and Genetic Algorithm |
| |
| GUAN Qi-ming,YIN Jian,LI Yi,TIAN Jun. Dynamic Structural Optimization of Machine Tool Spindle Based on Artificial Neural Network and Genetic Algorithm[J]. Journal of Guizhou University of Technology(Natural Science Edition), 2004, 33(2): 85-89 |
| |
| Authors: | GUAN Qi-ming YIN Jian LI Yi TIAN Jun |
| |
| Abstract: | 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. |
| |
| Keywords: | machine tool spindle dynamic property structural optimization artificial neural network genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
