Abstract: This paper establishes the knowledge base of floating caisson stability based on neural net work to analyse the floating stability of the floating caisson of tidal power plants during floating and sinking. This knowledge base need not know the form of the model in advance and it overcomes the limitation of formulas. The establishing method is simple and easy for programming. The results show that the prediction of the floating stability is more accurate by the base based on the BP neural network.