Nonlinear experimental design using Bayesian regularized neural networks

Matthew C Coleman; David E Block

doi:10.1002/aic.11175

Nonlinear experimental design using Bayesian regularized neural networks

AIChE Journal ◽

10.1002/aic.11175 ◽

2007 ◽

Vol 53 (6) ◽

pp. 1496-1509 ◽

Cited By ~ 10

Author(s):

Matthew C Coleman ◽

David E Block

Keyword(s):

Neural Networks ◽

Experimental Design ◽

Nonlinear Experimental Design

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Optimization of the capillary zone electrophoresis method for Huperzine A determination using experimental design and artificial neural networks

Journal of Chromatography A ◽

10.1016/j.chroma.2004.10.097 ◽

2005 ◽

Vol 1084 (1-2) ◽

pp. 7-12 ◽

Cited By ~ 22

Author(s):

A. Ben Hameda ◽

S. Elosta ◽

J. Havel

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Capillary Zone Electrophoresis ◽

Huperzine A ◽

Zone Electrophoresis ◽

Electrophoresis Method ◽

Capillary Zone ◽

Artificial Neural

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Structure of Optimal Samples in Continuous Nonlinear Experimental Design for Parameter Estimation

Modeling, Simulation and Optimization of Complex Processes HPSC 2015 ◽

10.1007/978-3-319-67168-0_7 ◽

2017 ◽

pp. 81-91

Author(s):

H. C. La ◽

H. G. Bock ◽

J. P. Schlöder

Keyword(s):

Parameter Estimation ◽

Experimental Design ◽

Nonlinear Experimental Design

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Uniform Experimental Design for Optimizing the Parameters of Multi-input Convolutional Neural Networks

Sensors and Materials ◽

10.18494/sam.2020.2771 ◽

2020 ◽

Vol 32 (10) ◽

pp. 3137

Author(s):

Cheng-Jian Lin ◽

Chen-Hsien Wu ◽

Chi-Chia Sun ◽

Cheng-Hsien Lin

Keyword(s):

Neural Networks ◽

Experimental Design ◽

Convolutional Neural Networks

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Evaluation of Equilibria with Use of Artificial Neural Networks (ANN). II. ANN and Experimental Design as a Tool in Electrochemical Data Evaluation for Fully Dynamic (Labile) Metal Complexes

Electroanalysis ◽

10.1002/1521-4109(200103)13:4<295::aid-elan295>3.0.co;2-r ◽

2001 ◽

Vol 13 (4) ◽

pp. 295-308 ◽

Cited By ~ 7

Author(s):

Ignacy Cukrowski ◽

Marta Farková ◽

Josef Havel

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Metal Complexes ◽

Data Evaluation ◽

Artificial Neural

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Derivation and implementation of a nonlinear experimental design criterion and its application to seismic network expansion at Kawerau geothermal field, New Zealand

Geophysical Journal International ◽

10.1111/j.1365-246x.2012.05646.x ◽

2012 ◽

Vol 191 (2) ◽

pp. 686-694 ◽

Cited By ~ 2

Author(s):

Z. J. Rawlinson ◽

J. Townend ◽

R. Arnold ◽

S. Bannister

Keyword(s):

New Zealand ◽

Experimental Design ◽

Geothermal Field ◽

Design Criterion ◽

Seismic Network ◽

Network Expansion ◽

Nonlinear Experimental Design

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Optimization by experimental design and artificial neural networks of the ion-interaction reversed-phase liquid chromatographic separation of twenty cosmetic preservatives

Journal of Chromatography A ◽

10.1016/j.chroma.2003.12.044 ◽

2004 ◽

Vol 1029 (1-2) ◽

pp. 57-65 ◽

Cited By ~ 46

Author(s):

E Marengo ◽

V Gianotti ◽

S Angioi ◽

M.C Gennaro

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Chromatographic Separation ◽

Reversed Phase ◽

Liquid Chromatographic Separation ◽

Phase Liquid ◽

Artificial Neural ◽

Liquid Chromatographic

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Artificial neural networks combined with experimental design: A “soft” approach for chemical kinetics

Talanta ◽

10.1016/j.talanta.2012.01.044 ◽

2012 ◽

Vol 93 ◽

pp. 72-78 ◽

Cited By ~ 22

Author(s):

Filippo Amato ◽

José Luis González-Hernández ◽

Josef Havel

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Chemical Kinetics ◽

Artificial Neural

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Artificial Neural Networks and Experimental Design

Pharmaceutical Experimental Design and Interpretation ◽

10.1201/9781420021455-11 ◽

2006 ◽

pp. 221-230

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Artificial Neural

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Information measures in nonlinear experimental design

Journal of Physics E Scientific Instruments ◽

10.1088/0022-3735/13/5/010 ◽

1980 ◽

Vol 13 (5) ◽

pp. 506-511

Author(s):

E Niple ◽

J H Shaw

Keyword(s):

Experimental Design ◽

Information Measures ◽

Nonlinear Experimental Design

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Modeling of the relationship between electroosmotic flow and separation parameters in capillary zone electrophoresis using artificial neural networks and experimental design

Talanta ◽

10.1016/j.talanta.2004.08.016 ◽

2005 ◽

Vol 65 (4) ◽

pp. 853-860 ◽

Cited By ~ 9

Author(s):

Y ZHANG ◽

H LI ◽

J HAVEL

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Experimental Design ◽

Capillary Zone Electrophoresis ◽

Electroosmotic Flow ◽

Zone Electrophoresis ◽

Capillary Zone ◽

Artificial Neural ◽

The Relationship ◽

Separation Parameters

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