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Nonlinear Sequential State Estimation for Solving PatternClassification Problems

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2 Author(s)

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