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grey equi-dimension topology
相关语句
  灰色等维拓扑
     A adaptive pattern recognition method for forecasting roof weighing of high-production and high-efficiency face by grey equi-dimension topology method
     高产高效工作面顶板来压自适应识别的灰色等维拓扑建模与预测
     A new adaptive pattern recognition method is presented for forecasting roof weighing of high-production and high-efficiency face. The method is grey equi-dimension topology method based on intelligent technology.
     介绍高产高效工作面基于智能技术的顶板来压预测预报方法——自适应模式识别方法,即灰色等维拓扑方法预测预报顶板来压.
  相似匹配句对
     Grey MOSCOW
     灰色莫斯科
短句来源
     On grey function
     灰色函数
短句来源
     equi and E.
     equi、E.
短句来源
     EQUI-STRENGTH ANNULAR PLATES
     等强度环形板
短句来源
     The Study of Grey on The LED-screen
     LED显示屏灰度的研究
短句来源
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>=A new adaptive pattern recognition method is presented for forecasting roof weighing of high-production and high-efficiency face. The method is grey equi-dimension topology method based on intelligent technology. Two kinds "equi-dimension" building pattern way, namely equi-dimension grey number increasing sequence building pattern way, and equi-dimension new information building pattern way, have been introduced. They can adjust dynamicly the data and build the roof weighing forecasting...

>=A new adaptive pattern recognition method is presented for forecasting roof weighing of high-production and high-efficiency face. The method is grey equi-dimension topology method based on intelligent technology. Two kinds "equi-dimension" building pattern way, namely equi-dimension grey number increasing sequence building pattern way, and equi-dimension new information building pattern way, have been introduced. They can adjust dynamicly the data and build the roof weighing forecasting model group, and have avoided the limitations of single forecasting model, and make the roof weighing forecasting course prosesses the characteristic of new superseding the old. The application example is given in the character.

介绍高产高效工作面基于智能技术的顶板来压预测预报方法——自适应模式识别方法,即灰色等维拓扑方法预测预报顶板来压.提出了两种“等维”建模途径(等维灰数递补建模,等维新志建模),可动态调整数据建立来压预测模型群,避免了单一预测模型的局限性,使来压预测过程具有新陈代谢特点.并给出了应用实例.

 
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