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In the context of globalization where market competition is becoming more and more intense, strategic human resource management (SHRM) plays an important role in enhancing corporate competitiveness. Through structural equation modeling and multiple linear regression methods, this paper reveals the complex paths of SHRM perceptions on employee proactive behaviors, and uses convolutional neural network pairs to explore the nonlinear relationships in the model and validate the results of SEM analysis. Overall, SHRM perception has a significant positive effect on employee proactive behavior (β=0.254, p<0.001). The indirect effect values of job self-efficacy and conceptual psychological contract as mediators were 0.1043 and 0.1726, respectively, which were both positive, i.e., they played a mediating role in the mechanistic effect of SHRM perceptions on employees' proactive behaviors. Insider identity perception, on the other hand, has a significant positive moderating effect between SHRM perception and employee-initiated behavior (β=0.09, p<0.01). The importance of independent variables using CNN model was ranked in descending order as: conceptual psychological contract, job self-efficacy, SHRM perception, job category, and insider identity perception, which was consistent with the results of SEM analysis, revealing the significance of convolutional neural network in optimizing human resource management strategies and enhancing employee motivation.