By means of isothermal compression at tem-peratures in the range of 650-900℃and strain rates in the range of 0.001-1 s-1,the dynamic recrystallization behavior and microstructural evolution of a Cu-3.28Ni-0.6Si-0.22Zn-0.11Cr-0.04P(wt%)alloy designed by a machine learning method were investigated.A semiem-pirical constitutive equation,processing maps and an average activation energy were generated.The microstructure under different conditions and the effect of strain rate on the texture of the alloy at 800-900℃were observed.The results show that the suitable temperature is 800-900℃;when the strain is less than 0.4,the appro-priate strain rate is 0.01-0.5 s-1;and when the strain is greater than 0.4,the appropriate strain rate is below 0.05 s-1.After deformation at 800℃,the main texture changed from{112}(111)of copper to a uniform distri-bution with the increase in strain rate,but the sample did not have obvious texture after deformation at 850 and 900℃.The above results can provide a reference for the selection of process parameters.