Abstract: In order to study the influence of the basic mechanical properties of chopped Basalt fiber reinforced concrete (BFRC), the cubic compressive strength, axial compression strength, split tensile strength, flexural strength are tested with 6 different volume contents. On the basis of the results, the strength of the additional fiber content of concrete is trained and predicted through a BP (Back Propagation) neural-network prediction model. The results show that chopped basalt fiber in concrete can delay the early strength of concrete. The compressive strength reaches a peak value with fiber dosage of 0.1%. The split tensile strength increases significantly, the flexural strength shows an upward trend with fiber content increase. The cubic compressive strength reaches the maximal increase with 0.1% by a BP neural network model. The split tensile strength and flexural strength continue to enhance with increasing fiber content. The best cubic content of chopped basalt fiber is obtained from the test results.