In order to solve high energy cutting often because of discharge electrode for insufficient liquid and dry cutting and wire breaking phenomenon, based in the working fluid pressure casting for liquid, adding a tracking injection auxiliary system was put forward. The loss of liquid jet between the nozzle and the cutting surface could be reduced or eliminated by the system, and the average flow rate of the working fluid was increased, moreover discharging condition was improved. In the spray system to build the orthogonal optimization experiment, influence of power amplifier, pulse interval, cutting thickness, pulse width, wire speed and other factors on the cutting efficiency was researched, the optimization of wire cutting technology parameters was determined, and the 200 mm2/min above cutting efficiency was obtained. By LM optimization algorithm of BP neural network to build the wire cutting technology for network prediction model, prediction accuracy was high. Reliable technology parameters for the prediction model are provided for cutting of tracking type liquid spraying high speed (HS) wire cutting machine so as to meet the needs of actual processing.