| 基于变尺度混沌优化策略的混合遗传算法及在神经网络中的应用 |
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| 引用本文： | 张惠珍,马良.基于变尺度混沌优化策略的混合遗传算法及在神经网络中的应用[J].上海理工大学学报(社会科学版),2007,29(3):215-219. |
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| 作者姓名： | 张惠珍 马良 |
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| 作者单位： | 上海理工大学管理学院 上海200093 |
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| 基金项目： | 上海市重点学科建设项目 |
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| 摘 要： | 讨论了遗传算法优化神经网络连接权的优点及存在的局限性.应用变尺度混沌搜索策略,建立了一种新的混合遗传算法——混沌遗传算法.将改进后的遗传算法结合前馈型神经网络应用于储层油气预测,取得了较好的效果.
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| 关 键 词： | 遗传算法 神经网络 变尺度混沌算法 |
| 修稿时间： | 3/1/2006 12:00:00 AM |
Application of hybrid genetic algorithm based on mutative scale chaos optimization strategy in neural networks |
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| ZHANG Hui-zhen,MA Liang.Application of hybrid genetic algorithm based on mutative scale chaos optimization strategy in neural networks[J].Journal of University of Shanghai For Science and Technilogy(Social Science),2007,29(3):215-219. |
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| Authors: | ZHANG Hui-zhen MA Liang |
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| Institution: | Business School, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | The merits and limitations of genetic algorithms used in optimizing the connection weights of the neural network are discussed. Mutative scale chaos optimization is introduced to form a new hybrid genetic algorithm-chaos genetic algorithm which is applied to predict reserves of hydrocarbon. Good result is obtained based on improved feed-forward neural network. |
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| Keywords: | genetic algorithm neural network mutative scale chaos optimization |
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