Applications of CNN with trapezoidal activation function
Citation
BİLGİLİ, E., GÖKNAR, İ.C., UÇAN, O.N. (2006). Applications of CNN with trapezoidal activation function. Springer Proceedings in Physics. (Editor İ.C. GÖKNAR, L. SEVGİ) pp. 225-233, Berlin, Springer. http://link.springer.com/chapter/10.1007/3-540-30636-6_26Abstract
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.
