| BP神经网络在射流冲击压力预测中的应用 |
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| 引用本文： | 李罗鹏,王瑞和,周卫东,高立超. BP神经网络在射流冲击压力预测中的应用[J]. 矿山机械, 2010, 0(2) |
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| 作者姓名： | 李罗鹏 王瑞和 周卫东 高立超 |
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| 作者单位： | 中国石油大学（华东）CNPC水射流重点实验室; |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2006AA06Z218) |
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| 摘 要： | 紊流射流冲击压力的影响因素很多,且存在着复杂的非线性关系,因此难以用传统的数学方法建立冲击压力的理论模型。基于BP神经网络理论,结合射流冲击压力的实验结果,建立了冲击压力的神经网络预测模型。经验证,对于给定的泵压、围压、喷距和径向距离等输入量,该模型能够准确地预测水射流的冲击压力。
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| 关 键 词： | 水射流 BP神经网络 冲击压力 预测 数学模型 |
Application of BP neural net in the impact pressure prediction of water jet |
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| LI Luopeng WANG Ruihe ZHOU Weidong GAO Lichao CNPC Key Laboratory of Water Jet,China University of Petroleum ,Dongying ,Sh,ong,China. Application of BP neural net in the impact pressure prediction of water jet[J]. Mining & Processing Equipment, 2010, 0(2) |
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| Authors: | LI Luopeng WANG Ruihe ZHOU Weidong GAO Lichao CNPC Key Laboratory of Water Jet China University of Petroleum Dongying Sh ong China |
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| Abstract: | There are many effect factors of turbulent jet impact pressure, between which there is a complex non- linear relationship, so it is difficult to set up a theoretical mode of impact pressure with the traditional math- ematical method. This paper establishes a prediction model of impact pressure with neural network, which is based on the BP neural network theory and the laboratory results of jet impact pressure. After testing, this model can predict precisely the jet impact pressure in regard to the given inp... |
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| Keywords: | BP neural network impact pressure predict mathematical model |
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