Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control
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Published By Springer London

9781447130680, 9781447130666

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

On ASMOD — An Algorithm for Empirical Modelling using Spline Functions

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_5 ◽

1995 ◽

pp. 83-104 ◽

Cited By ~ 5

Author(s):

Tom Kavli ◽

Erik Weyer

Keyword(s):

Spline Functions ◽

Empirical Modelling

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Adaptive Neurocontrol of a Certain Class of MIMO Discrete-Time Processes Based on Stability Theory

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_3 ◽

1995 ◽

pp. 43-60 ◽

Cited By ~ 4

Author(s):

Jean-Michel Renders ◽

Marco Saerens ◽

Hugues Bersini

Keyword(s):

Discrete Time ◽

Stability Theory

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Hierarchical Competitive Net Architecture

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_13 ◽

1995 ◽

pp. 255-275 ◽

Cited By ~ 2

Author(s):

Theresa W. Long ◽

Emil L. Hanzevack

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Analysis and Classification of Energy Requirement Situations Using Kohonen Feature Maps within a Forecasting System

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_11 ◽

1995 ◽

pp. 221-237

Author(s):

Steffen Heine ◽

Ingo Neumann

Keyword(s):

Energy Requirement ◽

Feature Maps ◽

Forecasting System

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Semi-Empirical Modeling of Non-Linear Dynamic Systems through Identification of Operating Regimes and Local Models

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_6 ◽

1995 ◽

pp. 105-126 ◽

Cited By ~ 12

Author(s):

Tor A. Johansen ◽

Bjarne A. Foss

Keyword(s):

Dynamic Systems ◽

Empirical Modeling ◽

Local Models ◽

Linear Dynamic Systems ◽

Linear Dynamic ◽

Non Linear ◽

Semi Empirical ◽

Operating Regimes

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Construction and Design of Parsimonious Neurofuzzy Systems

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_8 ◽

1995 ◽

pp. 153-177 ◽

Cited By ~ 4

Author(s):

K. M. Bossley ◽

D. J. Mills ◽

M. Brown ◽

C. J. Harris

Keyword(s):

Neurofuzzy Systems

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A Radial Basis Function Network Model for the Adaptive Control of Drying Oven Temperature

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_12 ◽

1995 ◽

pp. 239-254 ◽

Cited By ~ 1

Author(s):

Olivier Dubois ◽

Jean-Louis Nicolas ◽

Alain Billat

Keyword(s):

Adaptive Control ◽

Radial Basis Function ◽

Network Model ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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On Interpolating Memories for Learning Control

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_7 ◽

1995 ◽

pp. 127-152

Author(s):

H. Tolle ◽

S. Gehlen ◽

M. Schmitt

Keyword(s):

Learning Control

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Kohonen Network as a Classifier and Predictor for the Qualification of Metal-Oxide-Surfaces

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_10 ◽

1995 ◽

pp. 201-220

Author(s):

Waltraud Kessler ◽

Rudolf W. Kessler

Keyword(s):

Metal Oxide ◽

Oxide Surfaces ◽

Metal Oxide Surfaces ◽

Kohonen Network

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Local Model Architectures for Nonlinear Modelling and Control

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control ◽

10.1007/978-1-4471-3066-6_4 ◽

1995 ◽

pp. 61-82 ◽

Cited By ~ 10

Author(s):

Roderick Murray-Smith ◽

Kenneth Hunt

Keyword(s):

Local Model ◽

Nonlinear Modelling ◽

And Control

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Neural Network Engineering in Dynamic Control Systems - Advances in Industrial ControlLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer London

On ASMOD — An Algorithm for Empirical Modelling using Spline Functions

Adaptive Neurocontrol of a Certain Class of MIMO Discrete-Time Processes Based on Stability Theory

Hierarchical Competitive Net Architecture

Analysis and Classification of Energy Requirement Situations Using Kohonen Feature Maps within a Forecasting System

Semi-Empirical Modeling of Non-Linear Dynamic Systems through Identification of Operating Regimes and Local Models

Construction and Design of Parsimonious Neurofuzzy Systems

A Radial Basis Function Network Model for the Adaptive Control of Drying Oven Temperature

On Interpolating Memories for Learning Control

Kohonen Network as a Classifier and Predictor for the Qualification of Metal-Oxide-Surfaces

Local Model Architectures for Nonlinear Modelling and Control

Neural Network Engineering in Dynamic Control Systems - Advances in Industrial Control
Latest Publications