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机译:粗糙集和神经网络集成的集成,以预测模块化产品系列的配置性能
State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China;
Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China;
State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China;
Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China;
modular product family; configuration performance prediction; rough set; neural network ensemble; genetic algorithm;
机译:PIE-RSPOP:脑启发式伪增量集成粗糙集伪外积模糊神经网络
机译:使用主成分分析和支持向量机预测模块化产品系列的配置性能
机译:集成数据挖掘和粗糙集以基于客户组发现产品配置规则
机译:预测系统中粗糙集和神经网络范式的集成
机译:竞争性学习神经网络集成由预测性能加权。
机译:使用粗糙集神经网络和Logistic回归预测冠状动脉疾病患者符合胆固醇指南的目标
机译:产品网络,组件模块化和采购产品网络,组件模块化和采购产品网络,组件模块化和采购
机译:技术主题3.2.2.d贝叶斯和非参数统计:神经网络与贝叶斯网络的集成,用于数据融合和预测建模。