Applications Of Cnn With Trapezoidal Activation Function
| Autor: | Bilgili, E., Goknar, I. C., Ucan, O. N. |
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| Rok vydání: | 2006 |
| Popis: | This paper presents some applications 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. |
| Databáze: | OpenAIRE |
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