Human resource management is a comprehensive process involving recruiting, training, evaluating and motivating employees to achieve organizational goals. In today’s society, human resource management forecasts have low accuracy and high error rates. This article uses the BP algorithm to build a turnover and salary prediction model to predict human resource management. Finally, through experiments, it was concluded that the algorithm greatly reduced the error rate of human resource management predictions and improved its accuracy, with an accuracy rate as high as 98.9%. In the future, BP algorithm and human resource management prediction should be widely used.