The microhardness of JCW-S-AM coatings prepared by high velocity electric arc spraying on conditions of different process parameters was tested by hardometer. According to the test results, the model on the relation between the JCW-S-AM coatings microhardness and the process parameters was established by means of GA-BP genetic neural network arithmetic. The optimum parameters were optimized with genetic algorithm. The results of analysis and calculation show that the spray voltage and spray current all affect the microhardness, and there exists certain interaction between spray voltage and spray current. By means of genetic algorithm, the optimum spray parameters theoretically are that spray voltage is 29 V, spray current is 200 A, the microhardness of JCW-S-AM coatings is biggest.