| 基于过拟合神经网络的混沌伪随机序列(英文) |
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| 引用本文： | 罗松江,丘水生.基于过拟合神经网络的混沌伪随机序列(英文)[J].科学技术与工程,2009,9(11). |
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| 作者姓名： | 罗松江 丘水生 |
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| 作者单位： | 华南理工大学电子与信息学院,广州,510640 |
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| 摘 要： | 结合神经网络和混沌映射的特点,提出了一种基于过拟合BP神经网络的混沌伪随机序列产生方法.以logistic映射和Henon映射为例,测试结果表明,该方法能克服有限精度效应对混沌系统的影响,改善混沌伪随机序列的性能,为获得高性能的伪随机序列提供了一种新的思路.
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| 关 键 词： | 过拟合 神经网络 伪随机序列 |
Chaotic Pseudorandom Sequence Based on Overfitting Neural Network |
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| LUO Song-jiang,QIU Shui-sheng.Chaotic Pseudorandom Sequence Based on Overfitting Neural Network[J].Science Technology and Engineering,2009,9(11). |
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| Authors: | LUO Song-jiang QIU Shui-sheng |
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| Institution: | College of Electronic and Information;South China University of Technology;Guangzhou Guangdong 510640;China |
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| Abstract: | Combining the characteristic of neural network and chaotic map,a way of producing chaotic pseudorandom sequence based on overfitting Back Propagation neural network is proposed.The test result of logistic map and Henon map indicate that the method can overcome short period resulted from the finite precision and improve the randomicity of chatic sequence. |
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| Keywords: | overfitting neural network pseudorandom sequence |
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