H. A. B. te Braake - Concepedia

Author

H. A. B. te Braake

Also Known As

H. A. B. TE BRAAKE, H. A. B. te Braake, H.A.B. Te Braake, H.A.B. te Braake, H.A.B.te Braake, Hubert A. B. Braake, Hubert A. B. Te Braake, Hubert A. B. te Braake, Hubert A.B. Te Braake, Hubert A.B. te Braake

Publications

515

Citations

H-Index

Concepts

All Affiliations

Delft University of Technology

About

H. A. B. te Braake is an author at Delft University of Technology specializing in engineering, process control, and systems engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	322
2	Computer Engineering	3	3	104
3	Medicine	2	2	104
4	Computer Science	1	1	61
5	Data Science	1	1	62

H. A. B. te Braake

Publications

491

Citations

H-Index

Page 1

	Year	Citations
An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances: Part II H.J.L. van Can, H. A. B. te Braake, A. Bijman, Biotechnology and Bioengineering	1999	67
Strategy for dynamic process modeling based on neural networks in macroscopic balances H.J.L. van Can, C. Hellinga, K. Ch. A. M. Luyben, AIChE Journal EngineeringMachine LearningIndustrial EngineeringMechanics ModelingFluid Properties	1996	62
Random activation weight neural net (RAWN) for fast non-iterative training H. A. B. te Braake, G. van Straten Engineering Applications of Artificial Intelligence Evolving Neural NetworkEngineeringMachine LearningRandom ActivationSparse Neural Network	1995	61
Understanding and applying the extrapolation properties of serial gray‐box models H.J.L. van Can, H. A. B. te Braake, Sander Dubbelman, AIChE Journal EngineeringNeural NetworkPhysiologically-based Pharmacokinetic ModelingPharmacodynamic ModelingSystems Pharmacology	1998	57
Semi-mechanistic modeling of chemical processes with neural networks H. A. B. te Braake, H.J.L. van Can, H.B. Verbruggen Engineering Applications of Artificial Intelligence Computational NeuroscienceNeuronal NetworkNonlinear ProcessChemical ProcessesChemical Kinetics	1998	55
Comparison of intelligent control schemes for real-time pressure control Robert Babuška, H. A. B. te Braake, H.J.L. van Can, Control Engineering Practice Real-time ControlEngineeringIntelligent ControlMechanical SystemsProcess Control	1996	52
An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances H.J.L. van Can, H. A. B. te Braake, C. Hellinga, Biotechnology and Bioengineering EngineeringMetabolic ModelMacroscopic BalancesBioenergeticsBioanalysis	1997	47
Control of nonlinear chemical processes using neural models and feedback linearization H. A. B. te Braake, Eric J.L. van Can, Jacquelien M.A. Scherpen, Computers & Chemical Engineering Nonlinear ControlNonlinear Chemical ProcessesNonlinear System IdentificationControl MethodComputational Neuroscience	1998	34
Linear predictive control based on approximate input-output feedback linearisation H. A. B. te Braake IEE Proceedings - Control Theory and Applications Computational BurdenProcess ModelLinear Mbpc SchemeEngineeringControl Method	1999	24
Design and real time testing of a neural model predictive controller for a nonlinear system H.J.L. van Can, H. A. B. te Braake, C. Hellinga, Chemical Engineering Science Nonlinear ControlReal Time TestingNonlinear System IdentificationEngineeringModel-based Control Technique	1995	19

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