Enterprise human resource management platform based on FPGA and data mining

摘要

Optimal allocation management of corporate human resources is achieved to increase the efficiency of proposed Adaptive neural network optimal allocation model based on the FPGA design and information mining control of corporate HR, and versatile distribution of high business Human Resources (HR). The analysis and processing tool that build a database model of an optimized configuration of a company's human resources are used to build a report of an optimized configuration table model of a company's human resources. Statistical regression analysis is used by corporate talent. The ideal distribution measure is multidimensional data combination and highlight extraction. FPGA control strategies and information mining use data recovery and multidimensional information which is stacking to optimize the composition of enterprise talent using large-scale data fusion methods to make enterprise talent management decisions. The results show that by utilizing this strategy, the data combination capacity of the organization's ideal distribution of HR management is high, and the organization's capacity to ideally apportion HR is solid. It understands the designation and location of corporate HR and has superb application esteems for ideal allotment and the executives of corporate HR.