| 基于模拟退火遗传算法的模糊分类器参数优化及其应用 |
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| 引用本文： | 周越, 相敬林, 杨杰. 基于模拟退火遗传算法的模糊分类器参数优化及其应用[J]. 电子与信息学报, 2001, 23(10): 975-983. |
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| 作者姓名： | 周越 相敬林 杨杰 |
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| 作者单位： | 1. 上海交通大学图像处理与模式识别研究所,
2. 西北工业大学航海工程学院, |
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| 摘 要： | 该文从结构和算法上研究了Max-Min模糊神经网络(MMNN),找出了其固有的局限性,相应提出了一系列的改进措施形成改进MMNN算法。为了更好地提高网络的性能,同时考虑到优化算法的收敛速度,本文提出了基于模拟退火遗传算法的网络参数优化方法,通过计算机仿真,证明了该方法是可行的。最后,运用它作为分类器对实际的船舶辐射噪声进行了分类实验,与BP等算法进行了比较,显示出其独特的优越性。
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| 关 键 词： | 模糊隶属度函数 神经网络 模拟退火算法 遗传算法 分类器 |
| 收稿时间： | 1999-08-06 |
| 修稿时间： | 1999-08-06 |
THE PARAMETER OPTIMIZATION OF MMNN BASED ON GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING AND ITS APPLICATION |
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| Zhou Yue, Xiang Jinglin, Yang Jie. THE PARAMETER OPTIMIZATION OF MMNN BASED ON GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 2001, 23(10): 975-983. |
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| Authors: | Zhou Yue Xiang Jinglin Yang Jie |
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| Affiliation: | Inst. of Image Processing and Pattern Recognition Jiaotong Univ.,Shanghai 200030 China;College of Marine Eng.,Northwestern Polytechnical Univ., Xi an 710072 China |
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| Abstract: | In this paper, the structure and algorithm of Max-Min fuzzy neural network (MMNN) are studied in detail. In order to get rid of some intrinsic localization of the method and boost up the capability of the MMNN, a series of steps are presented and the improved project (IMMNN) is gained. With a view to making the capability even much better and compressing the time of the convergence, the op-IMMNN is put forward in which the parameters of IMMNN are optimized by genetic algorithm combined with simulated annealing. In the simulation, the result of op-IMMNN is superior over the conventional MMNN's. Finally, a satisfactory result is also obtained when op-IMMNN is regarded as a classifier to distinguish the types of the ships according to their actual radiated noise. Comparing with the neural network based on the back propagation algorithm, the advantages of the op-IMMNN are fully put up. |
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| Keywords: | Fuzzy membership function Neural network Simulated annealing algorithm Genetic algorithm Classifier |
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