Variable Structure Neural Networks for Adaptive Robust Control Using Evolutionary Artificial Potential Fields
نویسندگان
چکیده
منابع مشابه
Variable Structure Neural Networks for Adaptive Robust Control Using Evolutionary Artificial Potential Fields
A novel neural network architecture, is proposed and shown to be useful in approximating the unknown nonlinearities of dynamical systems. In the variable structure neural network, the number of basis functions can be either increased or decreased with time according to specified design strategies so that the network will not overfit or underfit the data set. Based on the Gaussian radial basis f...
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ژورنال
عنوان ژورنال: Journal of Electrical Engineering
سال: 2013
ISSN: 1335-3632
DOI: 10.2478/jee-2013-0001