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Nonlinear Sequential State Estimation for Solving Pattern‐Classification Problems

Abstract

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 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

Authors

Haykin S; Arasaratnam I

Book title

Adaptive Signal Processing

Pagination

pp. 333-348

Publisher

Wiley

Publication Date

June 16, 2010

DOI

10.1002/9780470575758.ch6
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