Abstract: Considering the problem caused by inappropriate selection of communication for HF communication frequency, such as, severe signal fading, unreliable transport, a method for HF communication frequency prediction was presented in this paper based on mind evolutionary algorithm-wavelet neural network combining with chaos theory. Wavelet neural network which has good characteristics of nonlinear fitting as predictive model was used. Chaos theory of phase space reconstruction was used to determine the number of layers of the neural network nodes. Also, mind evolutionary algorithm was used to optimize the initial weights of the network, the network stretch factor and the translation factor of wavelet function. Experiments show that MEA-WNN algorithm can improve the prediction accuracy of HF communication frequency.