Abstract
Based on the essence of logistic regression algorithm, this paper discusses the specific aspects of cluster analysis in smart marketing from five aspects: customer segmentation, experimental market selection, sampling plan design, sales area determination, and market opportunity research. According to the application, a prediction model based on the radial basis function (RBF) is established to predict the actual network data flow. Simulation experiments show that, compared with the prediction of BP neural network, the prediction method of RBF neural network based on chaos theory has fast learning speed and high prediction accuracy.
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