Consumption Structure Optimization Research Based on Intelligent Computing

摘要

Consumption is an important research topic in the national economy and the people's livelihood is an important part of developing countries since the reform and opening up to the outside world. How to use reasonable method to analyze the resident consumption level has gradually become the hot problem. K-means algorithm is improved based on modified artificial fish swarm algorithm. The improved K-means algorithm is used to analyze the consumption structure of urban resident. The experiment results can provide reference for economic development planning and policy formulation.