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Book Categories |
Preface | ||
Contributors | ||
1 | Kalman Filters | |
2 | Parameter-Based Kalman Filter Training: Theory and Implementation | |
3 | Learning Shape and Motion from Image Sequences | |
4 | Chaotic Dynamics | |
5 | Dual Extended Kalman Filter Methods | |
6 | Learning Nonlinear Dynamical System Using the Expectation-Maximization Algorithm | |
7 | The Unscented Kalman Filter | |
Index |
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Add Kalman Filtering and Neural Networks, Kalman filtering is a well-established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear approach and reflects the fact that most, Kalman Filtering and Neural Networks to the inventory that you are selling on WonderClubX
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Add Kalman Filtering and Neural Networks, Kalman filtering is a well-established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear approach and reflects the fact that most, Kalman Filtering and Neural Networks to your collection on WonderClub |