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