| 基于神经元网络模型的系统参数优化设计方法 |
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| 引用本文： | 何为,韩力群.基于神经元网络模型的系统参数优化设计方法[J].信息与控制,2001,30(6):562-565. |
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| 作者姓名： | 何为 韩力群 |
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| 作者单位： | 北京工商大学信息工程学院,北京,100037 |
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| 摘 要： | 介绍了一种应用神经元网络建模仿真的系统参数优化设计方法．采用正交试验设计
法准备训练数据，采用BP网络对试验数据建模．利用网络模型仿真正交试验得到各参数对性
能指标的影响曲线，通过直观分析可对系统参数组合进行优化设计．将该方法用于某化工产
品得到优化配方，经试验证实了它的实际应用意义．
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| 关 键 词： | 参数优化 神经网络 系统性能 正交设计 |
| 文章编号： | 1002-0411(2001)06-562-04 |
NEURAL NETWORK MODELING BASED METHOD FOR OPTIMIZING PRODUCT PARAMETERS |
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| HE,Wei\,HAN Li,qun.NEURAL NETWORK MODELING BASED METHOD FOR OPTIMIZING PRODUCT PARAMETERS[J].Information and Control,2001,30(6):562-565. |
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| Authors: | HE Wei\ HAN Li qun |
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| Abstract: | A method for optimizing system parameters based on neural network modeling is propsed. A BP neural network is used as the model of system and is trained with orthogonal data set. Through intuitionistic analysis of the curves which are resulted from the model and showed the influences of parameters on the performances of system, the optimal combination of system parameters can be obtained. The method has been used to optimize the formulation of some chemical product, and proved to be highly effective. |
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| Keywords: | optimization of parameter neural network system performance orthogonal design |
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