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