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It proposes a pseudo-random number generation algorithm based on cellular neural networks. This method uses the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo-random number. The experimental results show that, compared with other similar algorithms, this algorithm has the characteristics of simple operation, low complexity, large key space, good initial value sensitivity, good cross-correlation characteristics, and good randomness. It can meet the needs of secure communication and image encryption, which has good application prospects.