用神经网络辨识非线性大滞后系统的研究
A STUDY OF HOW TO IDENTIFY NONLINEAR MACROHYSTERETIC SYSTEM BY MEANS OF NERVE NETWORK
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摘要: 本文主要研究非线性大滞后系统的建模问题，提出用串级网络模型进行滞后补偿，并给出了网络模型权系数的学习算法．Abstract: this paper is mainly concerned with the study of building the model of the nonlinear macrohysteretic system. The method of how to do the lag compensation by means of linking up the network model is presented in this paper, and the weight coefficient algorithm of the model may be provided in this process.
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