| 神经网络技术用于渐开线少齿差减速器效率的研究 |
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| 引用本文： | 张申林. 神经网络技术用于渐开线少齿差减速器效率的研究[J]. 机械科学与技术, 1999, 18(6): 991-992 |
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| 作者姓名： | 张申林 |
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| 作者单位： | 西安公路交通大学!西安710064 |
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| 摘 要： | 利用神经网络理论建立了渐开线少齿差减速器效率预测模型，通过对本模型的数据处理和试验数据的比较，证实了本模型的正确性，并就渐开线少齿差减速器的效率随输入功率的变化得出了结论。
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| 关 键 词： | 神经网络 少齿差减速器 效率 |
Research on the Efficiency of a Retarder with Involute Gearing of Less Tooth Difference Using Neural Network |
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| Zhang Shenlin. Research on the Efficiency of a Retarder with Involute Gearing of Less Tooth Difference Using Neural Network[J]. Mechanical Science and Technology for Aerospace Engineering, 1999, 18(6): 991-992 |
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| Authors: | Zhang Shenlin |
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| Abstract: | This paper successfully makes a model of artificial neural network for forecasting the efficiency of a retarder with involute gearing of less tooth diffierence. Comparison between the calculation results with experimental data shows that the forecasting values provided is accurate. On the other hand, the conclusion that the retarder efficiency varies with the input power is given in this paper. |
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| Keywords: | Neural network Retarder with gearing of less tooth difference Efficiency |
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