| 一种基于遗传算法的改进的BP算法 |
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| 引用本文： | 高宏宾,焦东升,彭商濂.一种基于遗传算法的改进的BP算法[J].计算机与现代化,2006(3):6-8,13. |
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| 作者姓名： | 高宏宾 焦东升 彭商濂 |
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| 作者单位： | 五邑大学信息学院,广东,江门,529020 |
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| 摘 要： | 提出一种利用遗传算法对BP算法的改进方案。充分考虑了BP算法的精确性和遗传算法全局寻优的特点．使BP算法摆脱局部极小的困扰，并且所训练的网络能够达到要求的精度。
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| 关 键 词： | 前馈型神经网络 BP算法 遗传算法 |
| 文章编号： | 1006-2475（2006）03-0006-03 |
| 收稿时间： | 2005-05-15 |
| 修稿时间： | 2005-05-15 |
An Improved Back Propagation Algorithm Based on Genetic Algorithm |
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| GAO Hong-bin,JIAO Dong-sheng,PENG Shang-lian.An Improved Back Propagation Algorithm Based on Genetic Algorithm[J].Computer and Modernization,2006(3):6-8,13. |
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| Authors: | GAO Hong-bin JIAO Dong-sheng PENG Shang-lian |
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| Affiliation: | College of Information, Wuyi University, Jiangnen 529020,China |
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| Abstract: | This paper puts forward a kind of scheme to improve the back propagation(BP) algorithm based on genetic algorithm(GA).This algorithm considers the precision of back propagation and the global convergent characteristics of genetic algorithm,makes the back propagation algorithm get away from the limitation of local extreme value,and the trained network can attain the accuracy of request. |
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| Keywords: | feed forward neural network back propagation(BP) algorithm genetic algorithm(GA) |
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