Abstract

Neural network computing algorithms, which are loosely based on biological models, have been proposed as alternatives to traditional methods for problems in machine perception. The effectiveness of these algorithms largely hinges on whether they can be implemented efficiently on parallel hardware.

© 1988 Optical Society of America