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| 基于MATLAB的RBF神经网络建模及应用 | |
| 引用本文： | 王艳芹,张维. 基于MATLAB的RBF神经网络建模及应用[J]. 大庆师范学院学报, 2007, 27(2): 118-120 |
| 作者姓名： | 王艳芹 张维 |
| 作者单位： | 大庆师范学院,物理与电气信息工程系,黑龙江,大庆,163712 |
| 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。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。 |
| 关 键 词： | RBF神经网络 MATLAB 试井系统 |
| 文章编号： | 1006-2165（2007）02-0118-03 |
| 收稿时间： | 2007-01-22 |
| 修稿时间： | 2007-01-22 |
RBF Neural Network Modeling and Its Application Based on MATLAB |
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| WANG Yan-qin,ZHANG Wei. RBF Neural Network Modeling and Its Application Based on MATLAB[J]. Journal of Daqing Normal University, 2007, 27(2): 118-120 | |
| Authors: | WANG Yan-qin ZHANG Wei |
| 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. |
| Keywords: | MATLAB |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |