Computer Intensive Methods in Control and Signal Processing
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Published By Birkhäuser Boston

9781461273738, 9781461219965

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Efficient Algorithms for Predictive Control of Systems with Bounded Inputs

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_5 ◽

1997 ◽

pp. 93-104 ◽

Cited By ~ 2

Author(s):

Luigi Chisci ◽

A. Marongiu ◽

F. Schoen ◽

G. Zappa

Keyword(s):

Predictive Control ◽

Efficient Algorithms

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On Merging Gradient Estimation with Mean-Tracking Techniques for Cluster Identification

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_3 ◽

1997 ◽

pp. 63-72 ◽

Cited By ~ 2

Author(s):

Paul D. Fox ◽

Elmawati L. Sutanto ◽

Kevin Warwick

Keyword(s):

Gradient Estimation ◽

Cluster Identification

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Statistical Physics and the Optimization of Autonomous Behaviour in Complex Virtual Worlds

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_2 ◽

1997 ◽

pp. 49-61

Author(s):

Robert W. Penney

Keyword(s):

Virtual Worlds ◽

Statistical Physics

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Estimation of Quasipolynomials in Noise: Theoretical, Algorithmic and Implementation Aspects

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_13 ◽

1997 ◽

pp. 223-235 ◽

Cited By ~ 1

Author(s):

Vytautas Slivinskas ◽

Virginija Šimonytè

Keyword(s):

Implementation Aspects

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Fighting Dimensionality with Linguistic Geometry: Serial and Concurrent Strategies

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_1 ◽

1997 ◽

pp. 1-47 ◽

Cited By ~ 2

Author(s):

Boris Stilman

Keyword(s):

Linguistic Geometry

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Iterative Reconstruction of Transmission Sinograms with Low Signal to Noise Ratio

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_14 ◽

1997 ◽

pp. 237-248 ◽

Cited By ~ 7

Author(s):

Johan Nuyts ◽

Patrick Dupont ◽

Luc Mortelmans

Keyword(s):

Iterative Reconstruction ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

Noise Ratio

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System Modeling using Composition Networks

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_7 ◽

1997 ◽

pp. 119-140

Author(s):

Yves Moreau ◽

Joos Vandewalle

Keyword(s):

System Modeling

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Applying New Numerical Algorithms to the Solution of Discrete-Time Optimal Control Problems

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_6 ◽

1997 ◽

pp. 105-117 ◽

Cited By ~ 4

Author(s):

Rüdiger Franke ◽

Eckhard Arnold

Keyword(s):

Optimal Control ◽

Discrete Time ◽

Optimal Control Problems ◽

Numerical Algorithms ◽

Time Optimal Control ◽

Control Problems ◽

Time Optimal

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Approximation Using Cubic B-Splines with Improved Training Speed and Accuracy

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_19 ◽

1997 ◽

pp. 295-303

Author(s):

Julian D. Mason ◽

Kateřina Hlaváčková ◽

Kevin Warwick

Keyword(s):

B Splines ◽

Speed And Accuracy

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Dimension-Independent Rates of Approximation by Neural Networks

Computer Intensive Methods in Control and Signal Processing ◽

10.1007/978-1-4612-1996-5_16 ◽

1997 ◽

pp. 261-270 ◽

Cited By ~ 51

Author(s):

Věra Kůrková

Keyword(s):

Neural Networks

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Computer Intensive Methods in Control and Signal ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Birkhäuser Boston

Efficient Algorithms for Predictive Control of Systems with Bounded Inputs

On Merging Gradient Estimation with Mean-Tracking Techniques for Cluster Identification

Statistical Physics and the Optimization of Autonomous Behaviour in Complex Virtual Worlds

Estimation of Quasipolynomials in Noise: Theoretical, Algorithmic and Implementation Aspects

Fighting Dimensionality with Linguistic Geometry: Serial and Concurrent Strategies

Iterative Reconstruction of Transmission Sinograms with Low Signal to Noise Ratio

System Modeling using Composition Networks

Applying New Numerical Algorithms to the Solution of Discrete-Time Optimal Control Problems

Approximation Using Cubic B-Splines with Improved Training Speed and Accuracy

Dimension-Independent Rates of Approximation by Neural Networks

Computer Intensive Methods in Control and Signal Processing
Latest Publications