流场特性预测的两类高效方法
Two effective methods for flow-field performance forecast
-
摘要: 在多因素多水平试验设计方法建立数据库的基础上,提出了预测流场特性的两类高效方法:一类是响应面方法;一类是小波神经网络方法.典型算例表明,两类方法都可以高效率的获取流场特性参数,而且在预测的精度与计算的效率上,小波神经网络方法较响应面方法更具有优势.Abstract: Based on database established by multi-factor and multi-level design methods,two effective methods of flow-field performance forecast were proposed.One is response surface method,and the other is wavelet neural networks method.The typical examples indicate that two methods can forecast flow-field performance effectively.The results also show that wavelet neural networks method is superior to response surface method in terms of efficiency and precision.
-
点击查看大图
计量
- 文章访问数: 1623
- HTML浏览量: 95
- PDF量: 447
- 被引次数: 0

下载: