基于神经模糊推理系统的混沌序列产生模型
A Chaotic Sequence Generation Model Based on ANFIS
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摘要: 结合神经网络和模糊系统两者的优点，首次提出并建立了基于自适应神经模糊推理系统的混沌序列产生模型，其中系统适配参数的搜索运用遗传算法来实现。对该模型产生的混沌序列相关性、平衡性进行了检验。结果表明，其性能均达到或优于由混沌映射直接产生的混沌序列，且具有很高的复杂度，适合作为扩频通信应用的伪随机码。Abstract: In this paper, combining both neural networks and fuzzy systems merits, a chaotic sequence generation model is proposed and constructed on the basis of Adaptive Neural Fuzzy Inference System(ANPIS) firstly. Its basic system parameters are adjusted by genetic algorithm. The correlation property and balance performance of chaotic sequences generated by this model is tested. The result shows performances of these chaotic sequences are as good as, or better than that of chaotic sequences directly by chaotic map, which possess very high complexity and suit to act as spread-spectrum communication applications pseudo code.
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郝柏林.从抛物线谈起-混沌动力学引论.上海:上海科技教育出版社,1995:21-37.[2]王亥,胡健栋.Logistic-Map混沌映射序列.电子学报,1997,25(1):19-24.[3]荆涛,徐勇,杨怀江,宋建中.一种基于神经网络的混沌序列产生方法.通信学报,1999,20(6):77-81.[4]Takens F.On the numerical determination of the dimension of an attractor.Rand D,Young L S,Dynamical Systems and Turbulence.1981,Springer-Verlag,898:316-381.[5]Mane M.On the dimension of the compact invariant sets of certain nonlinear maps.Rand D,Young L S,Dynamical Systems and Turbulence.1981,Springer-Verlag,898:230-242.[6]马军海,陈予恕,刘曾荣.动力系统实测数据的非线性混沌模型重构.应用数学和力学,1999,20(11):481-488.[7]Abdallah A S.Artificial neural network for forecasting residential electrical energy[J].International Journal of Energy Research.1999,23(8):649-6613.0.CO;2-T' target='_blank'>[8]阎平凡等.人工神经网络与模拟进化计算.北京:清华大学出版社,2000:301.[9]吴晓莉,林哲辉等.MATLAB辅助模糊系统设计.西安:西安电子科技大学出版社,2002:78-89.[10]王小平等.遗传算法.西安:西安交通大学出版社,2000:28-50.[11]于舒娟,虞闯,汪铸.二相混沌扩频序列平衡性分析.沈阳工业学院学报,2001,20(2):84-89. -
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