The application of SSH framework in human resource management system design of operators in digital age

Abstract

In the digital age, the traditional human resource management system cannot satisfy the enterprises’ requirements for human resource management. Currently, more development opportunities have been provided for the traditional human resource management system. However, the traditional human resource management has the problem of information capture and analysis classification, so this research builds a neural network algorithm model under the SSH framework. The model uses the improved long short-term memory neural network to process and classify the information of human resource management, and realizes the processing of human resource management information. The minimum root-mean-square error of the newly constructed algorithm model is 0.18, which is 0.15 smaller than that of the convolutional neural network and 0.06 smaller than that of the genetic neural network. The fitness of the new model is 6.2% higher than that of the convolutional neural network and 2.8% higher than that of the genetic algorithm. The whole model is superior to the traditional neural network algorithm in fit and accuracy, which can solve the problem of human resource management information processing under SSH framework. It provides new perspectives and tools for understanding and solving complex human resource problems, and expands the application of artificial intelligence and deep learning in the field of human resource management.