Abstract: The compatibility of（Al+Ti） additions and solution temperature on the grain structure and the tensile strength of GH4738 alloy was investigated by machine learning and heat treatment tests. The machine learning results show that the effect of（Al+Ti） content on the yield strength of GH738 alloy has a certain regularity and it is obviously matched with the heat treatment regime, and the solution temperature（≤1030 ℃） is not suitable for GH738 alloy with high（Al+Ti） content, so it is necessary to explore a more suitable heat treatment system. The results of the process optimization experiments based on the analysis of machine learning show that increasing the solution treatment temperature can enhance the mechanical property of GH4738. However, there is a risk of abnormal grain growth that may reduce the mechanical property of the alloy. When the GH4738 alloy with the（Al+Ti） content of 4.35%-4.77% is subjected to sub-solution treatment, the ideal solution treatment temperature is 1040-1045 ℃. When（Al+Ti） content is higher than 4.77%, the ideal solute temperature is 1040-1050 ℃.