计算智能在信号处理中的应用:模糊神经识别的建议

信号处理 Pub Date : 2004-09-29 DOI:10.1109/MLSP.2004.1422965

C. Bottura, G. L. de Oliveira Serra

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引用次数: 0

摘要

本文提出了一种多输入多输出离散非线性动力系统的模糊神经辨识方法。基于Takagi-Sugeno (TS)模糊神经网络，将离线和在线方案制定为非线性动力系统样本的NARX(非线性自回归外生输入)模糊神经模型，其中后续参数通过基于数值鲁棒正交户变换的自适应加权工具变量算法进行修改

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Computational intelligence applied to signal processing: a proposal for fuzzy neural identification

In this study an approach to fuzzy neural identification of MIMO discrete-time nonlinear dynamical systems is proposed. Based on the Takagi-Sugeno (TS) fuzzy neural network, off-line and on-line schemes are formulated as a NARX (nonlinear autoregressive with exogenous input) fuzzy neural model from samples of a nonlinear dynamical system where the consequent parameters are modified by an adaptive WIV (weighted instrumental variable) algorithm based on the numerically robust orthogonal householder transformation

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.