| RBF神经网络在油田试井系统中的应用 |
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| 引用本文： | 田佳. RBF神经网络在油田试井系统中的应用[J]. 吉林工程技术师范学院学报, 2010, 26(3): 78-80 |
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| 作者姓名： | 田佳 |
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| 作者单位： | 吉林工程技术师范学院,电气工程学院,吉林,长春,130052 |
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| 摘 要： | MATLAB中的神经网络工具箱是进行神经网络系统分析与设计的有力工具。RBF神经网络以其计算量小,学习速度快,不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。在本文中将二者结合起来,解决了油田试井系统中压力值的建模问题,取得了令人满意的结果。
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| 关 键 词： | RBF神经网络 MATLAB 试井系统 |
RBF Neural Network in Oilfield Test Well System of Apply |
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| TIAN Jia. RBF Neural Network in Oilfield Test Well System of Apply[J]. Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition), 2010, 26(3): 78-80 |
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| Authors: | TIAN Jia |
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| Affiliation: | School of Electrical and Engineering;Jilin Teachers Institute of Engineering and Technology;Changchun Jilin 130052;China |
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| Abstract: | The Neural Network Toolbox in MATLAB is a powerful instrument of analyzing and designing a neural network system. RBF Neural Network has small computational burden and fast learning rate and is not liable to be trapped by local minimal points etc. So it is an effective means to identify and model a system. In this paper,the Neural Network Toolbox in MATLAB and RBF Neural Network are combined to solve the problem of modeling the pressure in oilfield test well systems and the result is excellent. |
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| Keywords: | RBF Neural Network MATLAB test well systems |
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