Article ID Journal Published Year Pages File Type
4975522 Journal of the Franklin Institute 2011 10 Pages PDF
Abstract
► The static neural network model discussed includes many models as special cases. ► The results are concise and easy to verify. ► The boundedness and differentiability conditions on the activation functions are cancelled. ► An example illustrates the efficiency and effectiveness of our results. ► Our method can be used to discuss nonautonomous nonlinear systems and stochastic systems.
Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
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