摘要
为缓解复杂工程产品设计优化中计算复杂度和计算精度之间的矛盾,结合最小二乘支持向量回归(least squares support vector regression,LSSVR)模型,提出一种基于差距映射的变可信度近似模型构建方法,即最小二乘支持向量回归差距映射(LSSVR with difference mapping framework,DMF-LSSVR)方法,以实现小样本条件下高精度近似模型的构建,并通过工程实例验证该方法的有效性。工程实例结果显示所提出的方法具有较高的预测精度,可为复杂工程产品的设计优化提供理论基础。
In order to alleviate the conflict between computational complexity and accuracy in the design optimization of complex engineering products,a new difference mapping based variable-fidelity approximation modeling method based on least squares support vector regression was put forward,namely LSSVR with difference mapping framework (DMF-LSSVR),in order to achieve a highly accurate approximation model within a limited sample size.Its effectiveness was validated through several engineering cases.The results demonstrate that the proposed DMF-LSSVR achieves high predictive accuracy,which can provide theoretical basis for the design optimization of complex engineering products.
作者
欧卫林
郑君
OU Wei-lin;ZHENG Jun(Wuhan National Laboratory for Optoelectronics,Central China Institute of Optoelectronic Technology,Wuhan 430223,China;Faculty of Engineering,China University of Geosciences,Wuhan 430074,China)
出处
《工程设计学报》
CSCD
北大核心
2019年第2期133-138,145,共7页
Chinese Journal of Engineering Design
基金
国家自然科学基金青年基金资助项目(51505439)
中国博士后科学基金面上项目(2014M562085)
关键词
变可信度近似模型
复杂工程产品
设计优化
仿真
variable-fidelity approximation model
complex engineering products
design optimization
simulation