| 模糊逻辑系统的GA+BP混合学习算法 |
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| 引用本文： | 王宏伦,吕庆风,佟明安. 模糊逻辑系统的GA+BP混合学习算法[J]. 控制理论与应用, 2001, 18(1): 17-20 |
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| 作者姓名： | 王宏伦 吕庆风 佟明安 |
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| 作者单位： | 1. 南京航空航天大学无人驾驶飞机研究所
2. 西北工业大学电子工程系 |
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| 摘 要： | 提出一种在GA中融入BP算法的混合学习算法以实现模糊逻辑系统的自学习，利用遗传算法的全局最优性在大范围内搜索可能的极值，而用BP算法的误差梯度下降特性在极值点附近的快速搜索，从而达到了全局最优与快速搜索的有机结合，仿真结果表明，这种混合算法的学习效率无论是相对于GA还是BP均有显著提高。
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| 关 键 词： | 模糊逻辑系统 BP算法 遗传算法 GA算法 混合学习算法 系统辨识 |
| 文章编号： | 1000-8125(2001)01-0017-04 |
| 收稿时间： | 1999-06-30 |
| 修稿时间： | 1999-06-30 |
A Hybrid GA-BP Self-Learning Algorithm for Fury Logic System |
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| WANG Hong-lun,LV Qing-feng and TONG Ming-an. A Hybrid GA-BP Self-Learning Algorithm for Fury Logic System[J]. Control Theory & Applications, 2001, 18(1): 17-20 |
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| Authors: | WANG Hong-lun LV Qing-feng TONG Ming-an |
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| Affiliation: | Institute of Remotely Piloted Aerial Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P.R.China;Institute of Remotely Piloted Aerial Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P.R.China;Department of Electronic Engineering, Northwestern Dolytechnical University, Xi'an 710072, P.R.China |
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| Abstract: | A new algorithm, in which back propagation (BP) algorithms of various learning rate are used to produce a little parts of population for genetic algorithm (GA), is introduced for the self learning of fuzzy logic system. In particular, the global convergent characteristic of the genetic algorithm is used to find the possible extremums in the whole area, and the great feature of the BP algorithm, that is, error descend in the direction of grads, is used to fast search about the extremums. Thus, the better combination of global convergence and fast search is obtained. Simulation results show that the hybrid algorithm is far more efficient not only than the GA but also than the back BP. |
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| Keywords: | fuzzy logic system self learning BP algorithm genetic algorithm |
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