首页> 外文会议>International Conference on Artificial Neural Nets and Genetic Algorithms >Data mining and automation of experts decision process applied to machine design for furniture production
【24h】

Data mining and automation of experts decision process applied to machine design for furniture production

机译:专家专家挖掘和自动化决策过程适用于家具生产机械设计

获取原文

摘要

A software concept based on data mining and knowledge discovery for a multi-spindle drilling gear configuration and optimisation applied to a machine used in furniture production process is proposed. The objective is to find the minimum number of supports and the optimised configuration of the multi-spindle drilling gears. Intelligent analysis of input data and an automated system covering the human design procedure are applied to configure multi-drilling gears. The input data presented as digitalised customer engineering drawings and furthermore technology data describing the basic constraints of the machine construction are presented. Moreover the transfer of acquired manual design experience from a human expert to a software strategy to solve the multi-criteria optimisation problem is shown.
机译:提出了一种基于数据挖掘和知识发现的软件概念,提出了应用于家具生产过程中使用的机器的多轴钻孔齿轮配置和优化的知识发现。目的是找到最小次数的支撑数和多轴钻孔齿轮的优化配置。应用输入数据的智能分析和覆盖人类设计程序的自动化系统用于配置多钻齿轮。呈现为数字化客户工程图的输入数据以及描述了描述机器结构基本限制的技术数据。此外,还示出了从人类专家到解决多标准优化问题的软件策略的获取手动设计经验。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号