Applications of CNN with trapezoidal activation function

Bilgili E., Goknar I. C., Ucan O. N.

International Symposium on Complex Computing-Networks, İstanbul, Turkey, 13 - 14 June 2005, vol.104, pp.235-237, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 104
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.235-237
  • Istanbul University Affiliated: Yes

Abstract

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.