Chaotic neural networks have been proved to be strong tools to solve the optimization problems. In order to study the anti-disturbance ability of chaotic neural network, wavelet function disturbance was introduced into morlet wavelet chaotic neural network and chaotic neural units with wavelet function disturbance were studied. The reversed bifurcation and the maximum Lyapunov exponent were given and the dynamic system was analyzed. The simulation results show that the chaotic neural network with function disturbance can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the very strong robustness and anti-interference ability are embodied in chaotic neural network.
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