You're viewing this item in the new Europeana website. View this item in the original Europeana.

Nonlinear iterated function system coding using neural networks

In this paper we attempt to form a neural network to code nonlinear iterated function system. Our approach to this problem consists of finding an error function which will be minimized when the network coded attractor is equal to the desired attractor. First, we start with a given iterated function system attractor, with a random set of weights of the network. Second, we compare the consequent ima…