关键词: 稳健性参数设计, 信号&mdash, 响应系统, 非线性相关, 支持向量回归机, 优化设计

Abstract: For the Robust Parameter Design (RPD) of nonlinear correlation signal-response system,an approach based on Support Vector Regression (SVR) and Genetic Algorithm (GA) was proposed.The fluctuation of nonlinear correlation in signal-response system was represented by process variation,and a SVR model for controllable factors and process variation was set up.The global optimal level of controllable factors with the steadiest nonlinear correlation of the system were obtained by using GA.The SVR model between controllable factors,signal factor and response variable was constructed by regarding the noised factors as repeated runs.Subsequently,the sample set of signal-response under the optimal controllable factors was predicted by using SVR model.The empirical model of the signal factor and response variable was simulated based on the proposed sample set.The theoretical analysis and empirical research showed that the proposed approach could objectively reflect the complex influential relationship among all kinds of factors and response variable comparing with signal-to-noise ratio analysis approach and response modeling approach,therefore the robust optimization result with smaller process variation was obtained.

Key words: robust parameter design, signal-response system, nonlinear correlation, support vector regression, optimal design