单变量
产品(数学)
数学优化
选择(遗传算法)
功能(生物学)
集合(抽象数据类型)
计算机科学
数学
多元统计
机器学习
几何学
进化生物学
生物
程序设计语言
作者
George C. Derringer,Ronald C. Suich
标识
DOI:10.1080/00224065.1980.11980968
摘要
A problem facing the product development community is the selection of a set of conditions which will result in a product with a desirable combination of properties. This essentially is a problem involving the simultaneous optimization of several response variables (the desirable combination of properties) which depend upon a number of independent variables or sets of conditions. Harrington, among others, has addressed this problem and has presented a desirability function approach. This paper will modify his approach and illustrate how several response variables can be transformed into a desirability function, which can be optimized by univariate techniques. Its usage will be illustrated in the development of a rubber compound for tire treads.
科研通智能强力驱动
Strongly Powered by AbleSci AI