A HNN Chaotic System with Attractor Coexistence and its Circuit Realization

To explore the characteristic of an unstable nonlinear Hopfield neural network (HNN) with asymmetric connection weights, a nonlinear HNN system is constructed based on activation functions and synaptic weight connections between neurons in neural network. Phase diagram, 01 test, complexity, bifurcation chart, and Lyapunov index spectrum are used to explore the characteristics of the HNN system. The results of a number of simulation experiments show that the new system has excellent dynamical characteristics, and finds phenomenon of attractor coexistence. Finally, the circuit experiments of the new HNN system are implemented on the DSP platform and the multisim platform respectively.