| Primary classification on drillability of frozen soil using neural networks |
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| 作者姓名： | 方江华 张志红 马芹永 |
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| 作者单位： | [1]DepartmentofCivilEnginessring,AbhuiUniverisityofSclenceandTechnology,Huainan232001 [2]SchoolofCivllEngineeringandArchitecture,NorthernJiaotongUniversity,Beijing100044,China |
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| 摘 要： | Through analysis on drillability of frozen soil, it is concluded that the main factors affecting the drillability of frozen soil are temperature, wave velocity, impact inductility and chiseling specific work. Based on the foundation it is discussed that applying the neural networks method to classify the drillability of frozen soil is simple and feasible, and the inputted vectors quantity of networks don‘‘t be restricted, which make the classification on ddllability of frozen soil rather well match the objective practice.
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| 关 键 词： | 冻土 可钻性 阻抗 神经系统网络 钻具 金刚石钻进 |
Primary classification on drillability of frozen soil using neural networks |
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| FANG Jiang hua ,ZHANG Zhi hong ,MA Qin yong.Primary classification on drillability of frozen soil using neural networks[J].Journal of Coal Science & Engineering(China),2003,9(2):17-20. |
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| Authors: | FANG Jiang hua ZHANG Zhi hong MA Qin yong |
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| Affiliation: | FANG Jiang hua 1,ZHANG Zhi hong 2,MA Qin yong 1 |
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| Abstract: | Through analysis on drillability of frozen soil, it is concluded that the main factors affecting the drillability of frozen soil are temperature, wave velocity, impact inductility and chiseling specific work. Based on the foundation it is discussed that applying the neural networks method to classify the drillability of frozen soil is simple and feasible, and the inputted vectors quantity of networks don't be restricted, which make the classification on drillability of frozen soil rather well match the objective practice. |
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| Keywords: | artificial neural networks frozen soil drillability classification |
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