title: Architectures for optoelectronic analogs of self-organizing neural networks.
abstract: Architectures for partitioning optoelectronic analogs of neural nets into input-output and internal groups to form a multilayered net capable of self-organization, self-programming, and learning are described. The architectures and implementation ideas given describe a class of optoelectronic neural net modules that, when interfaced to a conventional computer controller, can impart to it artificial intelligence attributes.
authors.forename: N H
authors.initials: NH
authors.lastname: Farhat