Informatization of Human Resources Performance Management in SMSE Based on Intelligent Analysis Algorithm

Abstract

This paper mainly uses the genetic algorithm to further improve the facial recognition algorithm of the principal component analysis, and uses the genetic algorithm to optimize the selection of the feature space of the facial recognition algorithm of the principal component analysis. The first is to improve the coding bit number of the genetic algorithm. N bits. This paper adopts the methods of combining empirical analysis and case analysis, combining theory and practice, and taking Shandong Jinding Zhida as an example to analyze the existence of human resources performance management system in the current management process of small and medium-sized enterprises in my country. The main problem evaluation system and corporate strategy. The career integration degree of employees is not high, which restricts the healthy development of human resources of small and medium-sized enterprises.