Least squares support vector machine LS-S is one of the S methods which can overcome the dimension disaster of the classic quadratic program method to train the support vector machine, it is fit for the training of large scale data, this paper uses LS-S to model a classic nonlinear system, continue stirred and reactor CSTR. The simulation is taken to demonstrate correctness and effectiveness of the proposed approach.
['Haisheng Li', 'Xuefeng Zhu', 'Buhai Shi']
Nonlinear identification based on least squares support vector machine