Aiming at the problem that the traditional modeling method can not solve the cost estimation of large complex equipment system with “small sample, high dimension, nonlinear”, a method based on support vector machine (SVM) is proposed. Aiming at the inherent defects of the SVM method, the optimization and improvement are carried out. The results show that this method is a useful exploration for equipment life cycle cost estimation.