Tài liệu Kalman Filtering and Neural Networks - Contents pptx

... 215 viii CONTENTS KALMAN FILTERING AND NEURAL NETWORKS Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-4 7 1-3 699 8-5 (Hardback); 0-4 7 1-2 215 4-6 ... H 1 Approach Cherkassky and Mulier = LEARNING FROM DATA: Concepts, Theory, and Methods Diamantaras and Kung = PRINCIPAL COMPONENT NEURA...

Ngày tải lên: 23/12/2013, 07:16

... efficient ‘‘second-order’’ technique for learning the parameters. The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered ... time-series estimation with neural networks. Double Inverted Pendulum A double inverted pendulum (see Fig. 7.4) has states corresponding to cart position and velocity, an...

Ngày tải lên: 14/12/2013, 13:15

... 0-4 7 1-3 699 8-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-4 7 1-3 699 8-5 (Hardback); 0-4 7 1-2 215 4-6 ... of Kalman filters to pave the way for their application in subsequent chapters of the book. We have chosen to follow the original paper by Kalman [...

Ngày tải lên: 13/12/2013, 13:15

... 133– 140. [3] G.V. Puskorius and L. A. Feldkamp, ‘‘ Decoupled extended Kalman filter training of feedforward layered networks, ’’ in Proceedings of International Joint Conference of Neural Networks, Seattle, ... control, diagnosis, and model- ing has offered substantial opportunity for the application of neural network methods. These opportunities are driven by the steadily increas...

Ngày tải lên: 14/12/2013, 13:15

... is, shape and direction of movement are perfectly correlated. The sequence of eight 10 Â 10 pixel images in Figure 3.2a is used to train a four-layered (10 0-1 6-8 R-100) network to make one-step predictions ... 1,1–47 (1991). [2] J.S. Lund, Q. Wu and J.B. Levitt, ‘‘ Visual cortex cell types and connections’’, in M.A. Arbib, Ed., Handbook of Brain Theory and Neural Networks, C...

Ngày tải lên: 14/12/2013, 13:15

... increment, the deviation in 83 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-4 7 1-3 699 8-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon ... were used to train two distinct 6-6 R-5R-1 networks using the first 5000 samples in the same fashion as in the noise-free case. The right-hand plots of Figures...

Ngày tải lên: 14/12/2013, 13:15

... industrial production (IP). As with most macro- -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 -1 0 1 -1 .5 -1 -0 .5 0 0.5 1 1.5 (a) (c) (d ) (b) Figure ... Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1...

Ngày tải lên: 14/12/2013, 13:15

... G.C. Goodwin and K.S. Sin, Adaptive Filtering, Prediction and Control. Englewood Cliffs, NJ: Prentice-Hall, 1984. [9] J. Moody and C. Darken, ‘‘Fast learning in networks of locally-tuned processing ... Whereas other work uses sampling for the E-step and gradient M-steps, our algorithm uses the RBF networks to obtain a computationally efficient and exact M-step. The EM algorithm...

Ngày tải lên: 14/12/2013, 13:15