High-dimensional Cellular Automata for Neural Network Representation

The NKS Summer School 2009 project

Zdenek Buk (bukz1@fel.cvut.cz)

Department of Computer Science and Engineering
Faculty of Electrical Engineering
Czech Technical University in Prague

Abstract

In this work the behavior of the four-dimensional cellular automata and their possible usage for the neural network representation have been studied. In this presentation several methods of visualization of the 4D cellular automata evolution are shown and the simple experiment how to extract the neural network topology and weight settings from the CA configuration is described. The neural network has been tested on the time-delayed XOR problem.