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Adaptive TSK-type self-evolving neural control for unknown nonlinear systems

Abstract

In this paper, a real-time approximator using a TSK-type self-evolving neural network (TSNN) is studied. The learning algorithm of the proposed TSNN not only automatically online generates and prunes the hidden neurons but also online adjusts the network parameters.EI國際20120918~20120922電子版YJapan,Toky

Similar works

This paper was published in Tamkang University Institutional Repository.

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