| 基于BP神经网络的模型铲刀推土阻力预测模型 |
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| 引用本文： | 黄葵,李因武,李建桥,彭剑波. 基于BP神经网络的模型铲刀推土阻力预测模型[J]. 农机化研究, 2009, 31(2) |
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| 作者姓名： | 黄葵 李因武 李建桥 彭剑波 |
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| 作者单位： | 1. 长春大学,计算机科学技术学院,长春130022
2. 吉林大学,地面机械仿生技术教育部重点实验室,长春130025 |
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| 基金项目： | 国家自然科学基金，教育部科学技术研究重点项目，吉林省科技发展计划 |
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| 摘 要： | 将BP神经网络应用于典型的曲面推土板-模型铲刀推土阻力的预测.在模型铲刀推土试验研究结果的基础上,以模型铲刀的切削角、前翻角和切削速度为输入,以模型铲刀推土阻力的水平分力与垂直分力为输出,建立了BP神经网络数值模拟模型.研究结果表明,该BP神经网络有效地预测了模型铲刀的推土阻力,其准确率在94%以上.
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| 关 键 词： | BP神经网络 模型铲刀 推土阻力 预测 |
Predicting Model of Draft Resistance to the Model Blade Based on BP Neural Network |
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| Huang Kui,Li Yinwu,Li Jianqiao,Peng Jianbo. Predicting Model of Draft Resistance to the Model Blade Based on BP Neural Network[J]. Journal of Agricultural Mechanization Research, 2009, 31(2) |
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| Authors: | Huang Kui Li Yinwu Li Jianqiao Peng Jianbo |
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| Affiliation: | 1.Institute of Computer Science and Technology;Changchun University;Changchun 130022;China;2. Key Laboratory of Terrain-machine Bionics Engineering;Ministry of Education;Jilin University;Changchun 130025;China |
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| Abstract: | The surfaces of soil-engaging components is the combination of curve blade and plane blade commonly,considering the different parameters and conditions involved in the soil-tool interaction system,it became a difficult work to study the interaction between soil and curve blade variously,and it was essential to use numerical simulation instead of physical test to solve this problem. The BP neural network was used to "learn" results of the numerical simulation to the draft resistance of model blade,it had a s... |
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| Keywords: | BP neural network model blade draft resistance prediction |
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