西安电子科技大学学报（自然科学版）2012，Vol.39Issue(5)：161-167,7.DOI:10.3969/j.issn.1001-2400.2012.05.027
混合神经网络匹配响应面的多学科设计方法
Multi-disciplinary design method for the matched response surface based on the hybrid neural network
摘要
Abstract
In order to improve the solving performance of Multi-disciplinary design optimization (MDO) , a multi-disciplinary design method for the matched response surface based on the hybrid neural network is proposed. By combining the advantages of the back-propagation (BP) network with the adaptive resonance theory (ART) network and making full use of the target results sample through discipline-level optimization to adaptively change the traditional response surface structure, the proposed method improves the accuracy of the response surface and reduces the number of times of iteration of the discipline-level optimization, which leads to a better solving efficiency for the multi-disciplinary optimization methods. The optimization method is validated by a specific example. Comparison studies in terms of solving accuracy, discipline optimization times, average number of times of iteration and iterative occupancy hours of obtaining the optimization solution indicate that the method for the multi-disciplinary design of the matched response surface based on the hybrid neural network has a few advantages such as higher solution accuracy and higher computational efficiency.关键词
BP网络/ART网络/多学科设计/响应面Key words
back-propagation network/ adaptive resonance theory network/ multi-disciplinary design/ response surface分类
信息技术与安全科学引用本文复制引用
刘道华,王淑礼,薛瑞..混合神经网络匹配响应面的多学科设计方法[J].西安电子科技大学学报（自然科学版）,2012,39(5):161-167,7.基金项目
河南省自然科学基金资助项目(122300410310,122300410151) （122300410310,122300410151）
河南省高校青年骨干教师计划资助项目(2009GGJS-075) （2009GGJS-075）
河南省高等教育教学改革研究省级资助项目(2012SJGLX205) （2012SJGLX205）
