| Autor: |
Bilgili, E., Goknar, I. C., Ucan, O. N., Albora, M. |
| Rok vydání: |
2006 |
| Předmět: |
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| Popis: |
This paper presents the stability conditions of cellular neural network (CNN) scheme employing a new nonlinear activation function, called trapezoidal activation function (TAF). The new CNN structure can classify linearly nonseparable data points and realize Boolean operations (including XOR) by using only a single-layer CNN. In order to simplify the stability analysis, a feedback matrix W is defined as a function of the feedback template A and 2D equations are converted to 1D equations. The stability conditions of CNN with TAF are investigated and a sufficient condition for the existence of a unique equilibrium and global asymptotic stability is derived. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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