| 一种基于FCMAC神经网络的优化方法 |
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| 引用本文： | 李丽娜,侯朝桢. 一种基于FCMAC神经网络的优化方法[J]. 计算机工程, 2003, 29(13): 16-18 |
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| 作者姓名： | 李丽娜 侯朝桢 |
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| 作者单位： | 北京理工大学自动控制系,北京,100081 |
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| 摘 要： | 提出了一种利用FCMAC(Fuzzy Cerebellar Model Articulation Controller)神经网络进行优化的方法。该方法由学习过程和优化过程两部分组成。对于许多没有模型可参考的实际过程，使用该方法只需要传感器的观测信息就能进行优化。仿真结果证明了该方法的有效性与优越性，进而提出了在实际应用中进行优化的一种方案。
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| 关 键 词： | FCMAC 神经网络 学习过程 优化过程 |
| 文章编号： | 1000-3428(2003)13-0016-03 |
| 修稿时间： | 2002-07-19 |
A Kind of Optimization Method Based on FCMAC Neural Network |
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| LI Lina,HOU Chaozhen. A Kind of Optimization Method Based on FCMAC Neural Network[J]. Computer Engineering, 2003, 29(13): 16-18 |
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| Authors: | LI Lina HOU Chaozhen |
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| Abstract: | In this paper, a kind of optimization method based on FCMAC (Fuzzy Cerebellar Model Arithmetic Controller) neural network is proposed. This method is composed of learning procedure and optimization procedure. To lots of practical applications without process models, only observation of sensor information is needed. The simulation results prove the efficacy and superiority of this method, thereby offering a new frame for implementing optimization schema in practical applications. |
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| Keywords: | FCMAC Neural network Learning procedure Optimization procedure |
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