An Unsupervised Neural Network Algorithm SOMO for Continuous Optimization Problems

The application of self-organizing neural network in customer classification is discussed. The concept of customer classification, index selection, classification method selection and SOM (Self Organization Map) clustering method are discussed, and a customer classification method based on SOM , Namely, the indexes of RFM (Recency; Frequency, Value, Monentary) are given, and the customers are classified according to the calculation of the comprehensive index and the relative learning results of each index, and the simulation calculation is performed, The simulation results are categorized to validate the algorithm.