Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm

Abstract

This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic crossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed neural network will be shown.