| 基于改进型遗传算法的神经网络参数优化 |
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| 引用本文： | 刘亚营,刘以建.基于改进型遗传算法的神经网络参数优化[J].自动化与信息工程,2004,25(1):7-9. |
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| 作者姓名： | 刘亚营 刘以建 |
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| 作者单位： | 上海海运学院 |
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| 基金项目： | 上海市高等学校科学技术发展基金项目<<船舶航向集成智能控制技术的研究> |
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| 摘 要： | 针对标准遗传算法的不足，文中提出一种改进型遗传算法，它将标准遗传算法和BP算法有机结合，兼具了标准遗传算法的全局搜索和BP网络局部精确搜索的特征，并将其应用于船舶自动舵神经网络控制器的训练中，取得较满意的结果。
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| 关 键 词： | 标准遗传算法 SGA 改进型遗传算法 IGA BP算法 船舶自动舵神经网络控制器 编码 收敛 |
The Optimization of Initial Weights of ANNs Based on Improved Genetic Algorithms |
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| Liu Yaying,Liu Yijian.The Optimization of Initial Weights of ANNs Based on Improved Genetic Algorithms[J].Automation & Information Engineering,2004,25(1):7-9. |
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| Authors: | Liu Yaying Liu Yijian |
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| Affiliation: | Shanghai Maritime University |
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| Abstract: | It is known that the single genetic algorithm(SGA) has many disadvantages,and the artificial neural networks are effective on accurate local searching .In the paper,we proposed a method by joining the genetic algorithm and BP algorithm together ,and used it to optimize the initial weights of ANNs.Through the simulation in the autopilot controller system ,the effectiveness has been proved. |
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| Keywords: | Artificial Neural Networks Genetic Algorithm Weights Of Artificial Neural Networks Autopilot |
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