摘要
首先利用质量功能配置技术从设计要求中提取产品特征,从而确定影响设计任务所需时间的因素集;其次给出一种模糊神经网络模型来融合数据并实现时间的预测,该模型通过模糊综合评判来精简结构;最后通过注塑模具设计应用表明了该智能预测方法的有效性和可行性.
Via an interactive process called quality function deployment (QFD), the product characteristics are extracted from design demands. Then the time factor set of the design task is formed. A fuzzy neural network model is presented to fuse data and realize the estimation of design time. This model makes use of fuzzy comprehensive evaluation to simplify structure. The results of application in injection mold show that the intelligent estimation method is effective and feasible.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第2期143-146,152,共5页
Control and Decision
关键词
产品设计
时间预测
质量功能配置
模糊神经网络
Feature extraction
Fuzzy control
Learning algorithms
Neural networks
Parameter estimation
Quality function deployment
