| 一种训练神经网络的新型遗传算法 |
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| 引用本文： | 李彤红,罗四维.一种训练神经网络的新型遗传算法[J].北京交通大学学报(自然科学版),1995(4). |
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| 作者姓名： | 李彤红 罗四维 |
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| 作者单位： | 北方交通大学计算机科学系 |
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| 摘 要： | 针对神经网络中具有大量的相似解，提出了一种规范化方法，大大地减少了神经网络中解的数目，然后，给出了多种不同的算子，通过对简单网络问题的实验，比较了它们的优劣，得出了一个新型的遗传算法ＮＧＡ。实验表明，ＮＧＡ比用传统的ＧＡ训练神经网络效果要优。
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| 关 键 词： | 神经网络，遗传算法，算子／规范法方法，相似解，分层前馈，训练 |
A New Genetic Algorithm for Lraining Neural Network |
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| Li Tonghong, Luo Siwei.A New Genetic Algorithm for Lraining Neural Network[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1995(4). |
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| Authors: | Li Tonghong Luo Siwei |
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| Abstract: | In this paper, we propose a standardized method to reduce the large number of similar solutions. With experiments in simple network problem, several operators are compared and a new genetic algorithm named NGA is presented. The result demonstrates that NGA is better than the traditional GA in training neural networks. |
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| Keywords: | ss: neural networks genetic algorithm operator/standardized method similar solution feed forward multi-layer training |
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