Abstract

A 16-state Hamilton neural-network model is discussed. The storage capacity of the model is analyzed through theory and through a computer numerical simulation. The storage-capacity ratio of the presented model equals that of the Hopfield model. This 16-state neural network can be applied to the recognition of 16-level color patterns, and some examples are discussed.

© 1995 Optical Society of America

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