基于改进粒子群算法的智能农村营销服务渠道优化分析

Optimization Analysis of Intelligent Rural Marketing Service Channel Based on Improved Particle Swarm Optimization Algorithm

本文研究了一种面向农村电网营销服务渠道的改进粒子群算法并验证其挖掘结果适应性。引入收敛因子的改进PSO算法并非单纯从粒子群数据迭代收敛效率上高于传统PSO算法,其实际的数据应用端表现也显著优于后者。其中表现在对优势用户和问题用户的数据特征提取方面,改进PSO算法表现出较强的数据挖掘结果可用性。

This paper studies an improved particle swarm optimization algorithm for rural power grid marketing service channel,and verifies the adaptability of its mining results.The improved PSO algorithm with convergence factor is not only higher than the traditional PSO algorithm in the iterative convergence efficiency of particle swarm optimization data,but also significantly better than the latter in the actual data application end.Among them,the improved PSO algorithm shows strong availability of data mining results in the data feature extraction of advantageous users and problem users.