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FPN attack model can be widely applied to a variety of large and complex network e nvironments. In this paper, we present an optimized FPN network attack model based on the improved ant colony algorithm. First, We a pply the ant colony algorithm to the FPN network attack model to optimize the training procedure of weight parameters. Second, we introduce hybridizing and aberrance gene to the algorithm to improve the converging rate and global search capability. E xperiments show that our algorithm achieves higher accuracy and faster convergent rate.

An Optimized FPN Network Attack Model Based on Improved Ant Colony Algorithm