Intelligent controllers
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En: CET (vol. 10, nro. 19, Abr. 2001), p. 11-18S.T.:H(066) UNT PP1157
The pursued central objective is to describe the modification carried out over a software environment, called FuzzyCon, used for Fuzzy Controllers design, with the idea of finding a general schema for knowledge acquisition, one of the most time-consuming features in the design process of a decision making system. We propose to use a hybrid paradigm including a Fuzzy System, a Kohonen's Neural Network and a Backpropagation Neural Network to achieve this goal
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The pursued central objective is to describe the modification carried out over a software environment, called FuzzyCon, used for Fuzzy Controllers design, with the idea of finding a general schema for knowledge acquisition, one of the most time-consuming features in the design process of a decision making system. We propose to use a hybrid paradigm including a Fuzzy System, a Kohonen's Neural Network and a Backpropagation Neural Network to achieve this goal
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