Affiliations: School of Management, Northwestern Polytechnical University, Xi’an, China
Correspondence:
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Corresponding author. Mengtong Xie, School of Management, Northwestern Polytechnical University, Xi’an 710129, China. E-mail: xiemengtong@mail.nwpu.edu.cn.
Abstract: A human resources management plan is presently recognised as one of the most important components of a corporate technique. This is due to the fact that its major purpose is to interact with people, who are the most precious asset that an organisation has. It is impossible for an organisation to achieve its objectives without the participation of individuals. An organisation may effectively plan as well as manage individual processes to support the organization’s objectives and adapt nimbly to any change if it has well-prepared HR techniques and an action plan for its execution. This investigation puts up a fresh way for the board of directors of a private firm to increase their assets and advance their growth by using cloud programming that is characterised by networks. The small company resource has been improved by strengthening human resource management techniques, and the cloud SDN network is used for job scheduling using Q-convolutional reinforcement recurrent learning. The proposed technique attained Quadratic normalized square error of 60%, existing SDN attained 55%, HRM attained 58% for Synthetic dataset; for Human resources dataset propsed technique attained Quadratic normalized square error of 62%, existing SDN attained 56%, HRM attained 59%; proposed technique attained Quadratic normalized square error of 64%, existing SDN attained 58%, HRM attained 59% for dataset.
Keywords: Small business management, cloud software defined networks, human resource management, task scheduling, recurrent learning
