The noise eliminated simulation based on artificial neural network and fuzzy adapted system

机译：基于人工神经网络和模糊自适应系统的消噪仿真

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摘要

The current research attempts to offer a novel method for solving noise eliminated system. This paper is based on artificial neural network and fuzzy system theory, to make a model for the noise signal source and simulate the model with MATLAB software, and sufficiently to eliminate the noise.

机译：当前的研究试图提供一种解决噪声消除系统的新颖方法。本文基于人工神经网络和模糊系统理论，建立了噪声信号源模型，并利用MATLAB软件对其进行了仿真，充分消除了噪声。

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来源
《2010 International Asia conference on optica instrument and measurement (ACPIM 2010).》|2010年|p.181-183|共3页
会议地点 Shenzhen(CN);Shenzhen(CN)
作者
XIA Fei; FAN Li;
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作者单位

School of Information engineering Nanchang Institute of Technology Nanchang, Jiangxi;

Department of Intelligent Robotics Nanchang Institute of Technology Nanchang, Jiangxi;

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会议组织
原文格式 PDF
正文语种 eng
中图分类光学仪器;光学仪器;
关键词
artificial neural network fuzzy system make a model MATLAB;

机译：人工神经网络模糊系统建模MATLAB;

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4. The noise eliminated simulation based on artificial neural network and fuzzy adapted system [C] . XIA Fei, FAN Li International Asia conference on optical instrument and measurement . 2010

机译：基于人工神经网络和模糊改编系统的噪声消除仿真
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The noise eliminated simulation based on artificial neural network and fuzzy adapted system

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