Abstract: To improve the efficiency of the main parameters of the shearer and the synergistic efficiency of the fully mechanized mining, the technical parameters of the shearer and the synergy process between the three fully mechanized mining machines are used to learn the technical parameters of the shearer, propose a biological model of shearer. The tec hnical parameters of the shearer are studied, the potential relationship between the parameters is determined, and the synergistic relationship between the shearer and the hydraulic support and the scraper conveyor is established. Based on the extreme learning machine, the technical parameters prediction model of the shearer is established. The experiments show that the accuracy of the model is above 95%, which meets the application requirements. The prediction model is used to solve the technical parameters of shearer and the matching parameters of conveyor and hydraulic support, which improves the design efficiency and quality.