Experiments in transplanting Chinese characters using back-propagation

An artificial neural network was trained to translate the Chinese characters representing numerals into their Arabic numeral equivalents. Preprocessing of the characters was minimized in an effort to test the network´s ability to produce its own internal representations from a large input set. A modified back-propagation algorithm was used that incorporates several heuristics to reduce convergence time and avoid common training problems.<>