Some properties of asymmetric Hopfield neural networks with finite time of transition between states

Abstract

There were implemented samples of asymmetric Hopfield neural networks which have finite time of transition from one state to another. It was shown that in such systems, various oscillation modes could occur. It was revealed that the oscillation of the output signal of certain neuron could be treated as extra logical variable, which describes the state of the neuron. Asymmetric Hopfield neural networks are described in terms of ternary logic. Such logic may be employed in image recognition procedure.

Keywords

• artificial neural networks
• autooscillations
• flip flop
• image recognition
• bureaucracy
• management