摘要
针对产品设计时间估计中存在的小样本、不确定性数据等问题,将模糊回归理论与支持向量机方法相结合,提出一种Fν-SVM模型,给出相应的设计时间智能估计方法和参数优选算法。进行了注塑模具设计的实例分析,结果表明基于 Fν-SVM的时间估计方法是有效和可行的。
Aiming at the problems of small samples and uncertainty data in design time estimation, fuzzy regression theory was combined with support vector machine, and a kind of fuzzy support vector machine named F-SVM was proposed. And then, an intelligent time estimation method and its relevant parameter-choosing algorithm were put forward. The results of application in injection molds show that the time estimation method based on F-SVM is effective and feasible.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2005年第6期533-537,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(60443001)
高等学校骨干教师资助计划资助项目
关键词
设计时间估计
支持向量机
模糊理论
回归
design time estimation
support vector machine
fuzzy theory
regression
