基于模糊支持向量机的产品设计时间估计方法  

Time Estimation Method for Product Design Based on Fuzzy Support Vector Machine

作　　者：许多[1] 严洪森[1] 

机构地区：[1]东南大学,南京210096

出　　处：《中国机械工程》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

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.

关 键 词：设计时间估计 支持向量机 模糊理论 回归 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH12[自动化与计算机技术—计算机科学与技术]