A directed graph is considered for organization of a knowledge base for neural, associative, model-based, and other advanced processors. Its ability to self-organize itself, delete old information, and add new information and its many interconnections make it most suitable for optical realization and use in advanced neural and adaptive optical processors. An alphanumeric image space example is used as a case study, and an optical processor architecture to achieve this with impressive performance is discussed.
© 1988 Optical Society of America
David Casasent and Edward Baranoski, "Directed graph for adaptive organization and learning of a knowledge base," Appl. Opt. 27, 534-540 (1988)