RESEARCH ON THE MODELING OF THE NONLINEAR DYNAMIC SYSTEM NERVE NETWORK BASED ON THE CHAOTIC TIME SERIES

机译：基于混沌时间序列的非线性动力系统神经网络建模研究

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摘要

We present a modeling method of the Nonlinear Dynamic System Nerve Network Based on the Chaotic time series in this paper and put forward a new algorithm. At last, A case study on modeling of the chaotic time series was performed.

机译：本文提出了一种基于混沌时间序列的非线性动态系统神经网络建模方法，并提出了一种新的算法。最后，进行了混沌时间序列建模的案例研究。

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《The Fourth International Conference on Systems Science and Systems Engineering (ICSSSE'03); Nov 25-28, 2003; Hong Kong SAR, China》|2003年|p.409-414|共6页
会议地点 Hong Kong(CN);Hong Kong(CN)
作者
YU Jun-li; Wang Qi-wen;
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作者单位

Guanghua School of Management Peking University, Beijing 100871 P.R. China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类 N9;
关键词
chaotic time series; nonlinear dynamic system; nerve network; BP algorithm;

机译：混沌时间序列非线性动力系统神经网络BP算法;
入库时间 2022-08-26 14:20:34

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3. A Methodology For The Modeling Of Forced Dynamical Systems From Time Series Measurements Using Time-delay Neural Networks [J] . John Zolock, Robert Greif Journal of Vibration and Acoustics . 2009,第1期

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4. RESEARCH ON THE MODELING OF THE NONLINEAR DYNAMIC SYSTEM NERVE NETWORK BASED ON THE CHAOTIC TIME SERIES [C] . YU Jun-li, Wang Qi-wen International conference on systems science and systems engineering . 2003

机译：基于混沌时间序列的非线性动态系统神经网络建模研究
5. A methodology for the modeling of forced dynamical systems from time series measurements using time-delay neural networks. [D] . Zolock, John D. 2005

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6. Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks [O] . Radhakrishnan Nagarajan -1

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7. Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems [O] . Arslan Basharat, Mubarak Shah 2010

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8. Analyzing perturbations and nonstationarity in data series using techniques motiviated by the theory of chaotic nonlinear dynamical systems [R] . Downing, D. J. , Fedorov, V. , Lawkins, W. F. , 1996

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RESEARCH ON THE MODELING OF THE NONLINEAR DYNAMIC SYSTEM NERVE NETWORK BASED ON THE CHAOTIC TIME SERIES

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