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An artificial neural network is a mathematical model composed of numerous adaptive dynamic systems of processing units. It has good adaptability, self-organization, strong learning ability, fault-tolerant ability, and anti-interference ability and can deal with complex problems and complex relationships flexibly. Therefore, the neural network model is used to optimize the prediction of tourism market demand. This paper analyzes and studies the concept, characteristics, and driving factors of customer-perceived value and reviews its development process.