Based on the soft foundation treatment project of the multi-purpose berths in the second harbor basin of Xuwei port area in Lianyungang，this study carries out splitting tensile tests of solidified marine soft soil and investigates the variation law of tensile strength of cement mixed with lime or fly ash.The study also uses the grey relation theory to determine the influence of various factors on the splitting tensile strength of solidified marine soft soil.The results show that the solidification effect of cement mixed with lime is better than that of cement mixed with fly ash.The tensile strength of solidified soil of cement mixed with lime is 1.3-2.9 times that of cement mixed with fly ash at different curing ages.When the initial water content of marine soft soil increases from 60% to 80%，the tensile strength of solidified soil decreases by 24%-75% at curing ages of 7-28 d.Water content and curing age are the main factors affecting the splitting tensile strength of solidified marine soft soil.Among the curing agent content，cement content has the most significant effect on the splitting tensile strength.Based on the machine learning method of an artificial neural network，this study proposes the prediction method of tensile strength of solidified marine soft soil.The method can predict the tensile strength of solidified soil with different initial water contents and curing agent contents quickly and accurately.