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TLU训练在矿山CAD计划编制系统中的应用

Application of TLU Training Theory to Mine CAD Plan System
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摘要 人工神经网络的应用日趋广泛,如何能够更好地应用于矿山生产实践中也成为当前业界的一个课题。通常矿山的计划系统不能够将相关的计划量数据动态地显现给用户。通过对矿山CAD系统的分析,利用人工神经网络中TLU训练原理应用VC++开发出了相应的CAD模块,将露天矿山生产计划指标动态显示。应用该模块编制计划提高了生产计划编制水平和编制效率。文中所提出的方法已经成功用于金堆城和洛钼集团矿山中,实践证明TLU训练原理很好地解决了矿山计划中的交互难题。 With the development of the artificial neural network in our country, how to apply better in mining production becomes a question. The oomrnon mine CAD plan system can't show the dynamic planing data to the user. Through an analysis of mine CAD system, this paper utilizes TLU training principle in artificial neural network, which can show open-cast mine plan targets dynamically in mine planning, thus it improved the production schedule competently and efficiently. The method mentioned in the paper has been utilized in mines of Jinduicheng and Luomu Conglomerate.
出处 《计算机技术与发展》 2006年第10期230-232,236,共4页 Computer Technology and Development
关键词 人工神经网络 矿山CAD计划系统 阈值逻辑单元训练 artificial neural network mine CAD plan system TLU training
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