Kalman filtering and neural networks

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Kalman filtering and neural networks

Kalman filtering and neural networks

Haykin S.

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Κατηγορίες:

Computers - Computer Science

Έτος:

2001

Εκδότης:

Wiley-Interscience

Γλώσσα:

english

Σελίδες:

297

ISBN 10:

0471369985

ISBN 13:

9780471369981

Αρχείο:

DJVU, 1.79 MB

IPFS:

,

english, 2001

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Ίσως σας ενδιαφέρει

Fyfe C. — Artificial neural networks

Vojislav Kecman — Learning and Soft Computing: Support Vector Machines, Neural Networks and Fuzzy Logic Models

Robert Grover Brown — Introduction to Random Signal Analysis And Kalman Filtering

Madan M. Gupta, Liang Jin, Noriyasu Homma — Static and dynamic neural networks: from fundamentals to advanced theory

Brookner E. — Tracking and Kalman filtering made easy

Simon Haykin — Kalman filtering and neural networks

Mohinder S. Grewal, Angus P. Andrews — Kalman filtering: theory and practice using MATLAB

Martin T. Hagan, Howard B. Demuth, Mark H. Beale — Neural Network Design

Andrew H. Jazwinski (Eds.) — Stochastic Processes and Filtering Theory

Eric A. Wan, Rudolph van der Merwe — The Unscented Kalman Filter for Nonlinear Estimation

Eric A. Wan, Rudolph van der Merwe — The Unscented Kalman Filter for Nonlinear Estimation

Badong C. — Kalman Filtering Under Information Theoretic Criteria

— A Survey of Maneuvering Target Tracking: Approximation Techniques for Nonlinear Filtering

王小旭，潘泉，王增福，李汉舟，梁彦著 — 非线性动态系统确定采样型估计理论

C.T. LEONDES (Eds.) — Advances in Theory and Application

C.T. LEONDES (Eds.) — Advances in Theory and Application

C.T. LEONDES (Eds.) — Nonlinear and Kalman Filtering Techniques, Part 1 of 3

C.T. LEONDES (Eds.) — Nonlinear and Kalman Filtering Techniques, Part 3 of 3

Andrew H. Jazwinski (Eds.) — Stochastic Processes and Filtering Theory

Maybeck — Stochastic models, estimation and control, Vol.2

Dan Simon — Optimal state estimation: Kalman, H-infinity, and nonlinear approaches

Bruce P. Gibbs — Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook

Anton J. Haug(auth.) — Bayesian Estimation and Tracking: A Practical Guide

George M. Siouris — An Engineering Approach to Optimal Control and Estimation Theory

Simon Haykin — Kalman filtering and neural networks

Fredrik Gustafsson — Adaptive Filtering and Change Detection

Dan Simon — Optimal state estimation: Kalman, H [infinity] and nonlinear approaches

Shovan Bhaumik; Paresh Date — Nonlinear Estimation: Methods and Applications with Deterministic Sample Points

Kanjilal, Partha Pratim — Adaptive prediction and predictive control

J. R. Raol, G. Girija, J. Singh — Modelling and Parameter Estimation of Dynamic Systems (IEE Control Engineering)

Saerkkae S. — Bayesian Filtering and Smoothing

Peyman Setoodeh, Saeid Habibi, Simon Haykin — Nonlinear Filters: Theory and Applications

Chandra, Kumar Pakki Bharani; Gu, Da-Wei — Nonlinear Filtering Methods and Applications

Jitendra R. Raol, Girija Gopalratnam, Bhekisipho Twala — Nonlinear Filtering: Concepts and Engineering Applications

Kumar Pakki Bharani Chandra, Da-Wei Gu — Nonlinear Filtering: Methods and Applications

Nan Chen — Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models

Saeed Eftekhar Azam (auth.) — Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

Geir Evensen (auth.) — Data Assimilation: The Ensemble Kalman Filter

Gustaf Hendeby. — Performance and implementation aspects of nonlinear filtering

Gustaf Hendeby — Fundamental Estimation and Detection Limits in Linear Non-gaussian Systems

Victor M. Moreno and Alberto Pigazo — Kalman Filter Recent Advances and Applications

Kordic V. (ed.) — Kalman Filter

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