Hamilton neural-network model: recognition of the color patterns
Jianwei Shuai, Zhenxiang Chen, Ruitang Liu, Boxi Wu · Applied Optics · 1995
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.