Quantum Dynamic Network Modeling Algorithm in Mathematical Modeling Training Combined with BOPPPS Comprehensive Networking System Construction

A quantum self-organizing feature mapping network model and clustering algorithm are proposed. The inputs and weights of quantum neurons are quantum bits, and the output is real numbers. The characteristics and relationship of BOPPPS model and problem-driven teaching method are studied, BOPPPS model and teaching method The relationship between elements 5W, and taking the "Algorithm and Data Structure" course as an example, gives strategies and practices for cultivating computational thinking. The quantum self-organizing feature map network is composed of input layer and competition layer. The multi-objective programming model is established by mathematical methods such as linear weighting, objective programming and hierarchical sequence, and the solution to the dynamic allocation of resources in the logistics network is given by analyzing the model.