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Study on the Identification of Nonlinear Time Varying Systems Based on Neural Networks Combined with Basis Sequence Expansions

机译：基于神经网络和基序列展开的非线性时变系统辨识研究

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《World Congress on Intelligent Control and Automation(WCICA 2004) vol.6; 20040615-19; Hangzhou(CN)》||319-323|共5页
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1. Nonlinear Time-Varying Systems Identification Using Basis Sequence Expansions Combined with Neural Networks [J] . GU Cheng-kui, WANG Zheng-ou, SUN Ya-ming Transactions of Tianjin University . 2003,第1期

机译：基于基序扩展和神经网络的非线性时变系统辨识
2. Identification of time-varying nonlinear systems using minimal radial basis function neural networks [J] . Yingwei L., Sundararajan N. IEE Proceedings. Part D . 1997,第2期

机译：利用最小径向基函数神经网络识别时变非线性系统
3. Identification of time-varying nonlinear systems using minimal radial basis function neural networks [J] . L. Yingwei, N. Sundararajan, P. Saratchandran IEE Proceedings. Part D . 1997,第2期

机译：利用最小径向基函数神经网络识别时变非线性系统
4. Study on the Modeling of nonlinear time variant systems based on neural networks combined with basis sequence expansions [C] . Wei Jinyu, Yuan Qingmin, Li Guogang, Fifth World Congress on Intelligent Control and Automation(WCICA 2004) vol.1 . 2004

机译：基于神经网络和基本序列展开的非线性时变系统建模研究
5. Process monitoring and system identification using a combined architecture of linear and nonlinear artificial neural networks. [D] . Lee, Samuel Eui. 1993

机译：使用线性和非线性人工神经网络的组合架构进行过程监控和系统识别。
6. Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications [O] . Mohsen Kharazihai Isfahani, Maryam Zekri, Hamid Reza Marateb, 2019

机译：基于规则诱导动态非线性系统识别与真实数据应用的模糊跳跃小波神经网络
7. Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks [O] . Nobuyuki Kanazawa 2020

机译：径向基函数非线性时间序列分析的神经网络和供应冲击的时变效应

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