Abstract

AbstractThis paper analyzes some key problems in the design of neural network economic alarm system, and puts forward an improved Liao Chuan algorithm. On this basis, it introduces a hybrid algorithm neural network economic prediction system based on the improved genetic algorithm and BP algorithm. In order to optimize BP neural network comprehensively and make it have better generalization performance, a genetic algorithm is improved and designed. The comparison test shows that the improved genetic algorithm reduces the memory consumption, ensures the diversity of population, and improves the running speed and convergence effect of the algorithm.KeywordsEarly warningBP algorithmGenetic algorithmNeural network

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