Nonlinear Sequential State Estimation for Solving PatternClassification Problems

This chapter contains sections titled: Introduction Back-Propagation and Support Vector Machine-Learning Algorithms: Review Supervised Training Framework of MLPs Using Nonlinear Sequential State Estimation The Extended Kalman Filter Experimental Comparison of the Extended Kalman Filtering Algorithm with the Back-Propagation and Support Vector Machine Learning Algorithms Concluding Remarks Problems References