| 智能学习型电火花加工工艺决策系统的研究 |
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| 引用本文： | 杨晓冬,宋颖慧,赵万生.智能学习型电火花加工工艺决策系统的研究[J].电加工与模具,2002(3):16-19. |
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| 作者姓名： | 杨晓冬 宋颖慧 赵万生 |
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| 作者单位： | 哈尔滨工业大学 |
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| 基金项目： | 国家自然科学基金重点资助项目 (5 993 5 110 ) |
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| 摘 要： | 针对电火花加工工艺的特点，分析了其智能决策系统应具有的特点，进而构筑了具有自学习功能的电火花加工工艺智能决策系统的结构2，详细分析了系统中各模块的功能及相互间的关系。该系统利用多种智能技术来提高电火花加工工艺设计的决策水平，并通过学习机制解决知识获取的瓶颈问题，该系统解决问题的能力将在重复使用过程中不断提高。
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| 关 键 词： | 电火花加工 工艺决策 智能技术 自学习 |
| 修稿时间： | 2002年1月25日 |
A study of intelligent technology decision-making system with self-learning in EDM |
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| Yang Xiaodong et al..A study of intelligent technology decision-making system with self-learning in EDM[J].Electromachining & Mould,2002(3):16-19. |
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| Authors: | Yang Xiaodong |
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| Affiliation: | Yang Xiaodong et al. |
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| Abstract: | According to the technological characters, the characters of the intelligent system for technology decision making in EDM are analyzed in this paper, furthermore, systematic structure with self learning of the intelligent system for technology decision making in EDM is constructed and function of every module and relationship among them are analyzed in details. Multi intelligence techniques are applied in the system to raise the level of technology decision making in EDM, and the bottleneck of knowledge acquirement is settled with learning mechanism. The ability to solve problem will constantly improve after system running repeatedly. |
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| Keywords: | EDM decision making intelligence technology self learning |
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