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Results: 1-13 |
Results: 13
PREDICTING NUCLEIC-ACID TORSION ANGLE VALUES USING ARTIFICIAL NEURAL NETWORKS
Authors: BECKERS MLM MELSSEN WJ BUYDENS LMC
Citation: Mlm. Beckers et al., PREDICTING NUCLEIC-ACID TORSION ANGLE VALUES USING ARTIFICIAL NEURAL NETWORKS, Journal of computer-aided molecular design, 12(1), 1998, pp. 53-61
PLASTIC MATERIAL IDENTIFICATION WITH SPECTROSCOPIC NEAR-INFRARED IMAGING AND ARTIFICIAL NEURAL NETWORKS
Authors: VANDENBROEK WHAM WIENKE D MELSSEN WJ BUYDENS LMC
Citation: Wham. Vandenbroek et al., PLASTIC MATERIAL IDENTIFICATION WITH SPECTROSCOPIC NEAR-INFRARED IMAGING AND ARTIFICIAL NEURAL NETWORKS, Analytica chimica acta, 361(1-2), 1998, pp. 161-176
A SELF-ORGANIZING FEATURE MAP FOR CLUSTERING NUCLEIC-ACIDS - APPLICATION TO A DATA MATRIX CONTAINING A-DNA AND B-DNA DINUCLEOTIDES
Authors: BECKERS MLM MELSSEN WJ BUYDENS LMC
Citation: Mlm. Beckers et al., A SELF-ORGANIZING FEATURE MAP FOR CLUSTERING NUCLEIC-ACIDS - APPLICATION TO A DATA MATRIX CONTAINING A-DNA AND B-DNA DINUCLEOTIDES, Computers & chemistry, 21(6), 1997, pp. 377-390
OPTIMAL WAVELENGTH RANGE SELECTION BY A GENETIC ALGORITHM FOR DISCRIMINATION PURPOSES IN SPECTROSCOPIC INFRARED IMAGING
Authors: VANDENBROEK WHAM WIENKE D MELSSEN WJ BUYDENS LMC
Citation: Wham. Vandenbroek et al., OPTIMAL WAVELENGTH RANGE SELECTION BY A GENETIC ALGORITHM FOR DISCRIMINATION PURPOSES IN SPECTROSCOPIC INFRARED IMAGING, Applied spectroscopy, 51(8), 1997, pp. 1210-1217
APPLICATION OF A SPECTROSCOPIC INFRARED FOCAL-PLANE ARRAY SENSOR FOR ONLINE IDENTIFICATION OF PLASTIC WASTE
Authors: VANDENBROEK WHAM WIENKE D MELSSEN WJ FELDHOFF R HUTHFEHRE T KANTIMM T BUYDENS LMC
Citation: Wham. Vandenbroek et al., APPLICATION OF A SPECTROSCOPIC INFRARED FOCAL-PLANE ARRAY SENSOR FOR ONLINE IDENTIFICATION OF PLASTIC WASTE, Applied spectroscopy, 51(6), 1997, pp. 856-865
PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .1. HYDRA - CONCEPT, CONFIGURATION, AND IMPLEMENTATION OF PARALLEL APPLICATIONS
Authors: MELSSEN WJ DERKS EPPA BECKERS MLM BUYDENS LMC
Citation: Wj. Melssen et al., PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .1. HYDRA - CONCEPT, CONFIGURATION, AND IMPLEMENTATION OF PARALLEL APPLICATIONS, Computers & chemistry, 20(4), 1996, pp. 431-438
PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .2. A PARALLEL CROSS-VALIDATION PROCEDURE FOR ARTIFICIAL NEURAL NETWORKS
Authors: DERKS EPPA BECKERS MLM MELSSEN WJ BUYDENS LMC
Citation: Eppa. Derks et al., PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .2. A PARALLEL CROSS-VALIDATION PROCEDURE FOR ARTIFICIAL NEURAL NETWORKS, Computers & chemistry, 20(4), 1996, pp. 439-448
PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .3. USING GENETIC ALGORITHMS FOR CONFORMATIONAL-ANALYSIS OF BIOMACROMOLECULES
Authors: BECKERS MLM DERKS EPPA MELSSEN WJ BUYDENS LMC
Citation: Mlm. Beckers et al., PARALLEL-PROCESSING OF CHEMICAL INFORMATION IN A LOCAL-AREA NETWORK .3. USING GENETIC ALGORITHMS FOR CONFORMATIONAL-ANALYSIS OF BIOMACROMOLECULES, Computers & chemistry, 20(4), 1996, pp. 449-457
IDENTIFICATION OF PLASTICS AMONG NONPLASTICS IN MIXED WASTE BY REMOTE-SENSING NEAR-INFRARED IMAGING SPECTROSCOPY .1. IMAGE IMPROVEMENT AND ANALYSIS BY SINGULAR-VALUE DECOMPOSITION
Authors: VANDENBROEK WHAM WIENKE D MELSSEN WJ DECROM CWA BUYDENS L
Citation: Wham. Vandenbroek et al., IDENTIFICATION OF PLASTICS AMONG NONPLASTICS IN MIXED WASTE BY REMOTE-SENSING NEAR-INFRARED IMAGING SPECTROSCOPY .1. IMAGE IMPROVEMENT AND ANALYSIS BY SINGULAR-VALUE DECOMPOSITION, Analytical chemistry, 67(20), 1995, pp. 3753-3759
USING ARTIFICIAL NEURAL NETWORKS FOR SOLVING CHEMICAL PROBLEMS .2. KOHONEN SELF-ORGANIZING FEATURE MAPS AND HOPFIELD NETWORKS
Authors: MELSSEN WJ SMITS JRM BUYDENS LMC KATEMAN G
Citation: Wj. Melssen et al., USING ARTIFICIAL NEURAL NETWORKS FOR SOLVING CHEMICAL PROBLEMS .2. KOHONEN SELF-ORGANIZING FEATURE MAPS AND HOPFIELD NETWORKS, Chemometrics and intelligent laboratory systems, 23(2), 1994, pp. 267-291
USING ARTIFICIAL NEURAL NETWORKS FOR SOLVING CHEMICAL PROBLEMS .1. MULTILAYER FEEDFORWARD NETWORKS
Authors: SMITS JRM MELSSEN WJ BUYDENS LMC KATEMAN G
Citation: Jrm. Smits et al., USING ARTIFICIAL NEURAL NETWORKS FOR SOLVING CHEMICAL PROBLEMS .1. MULTILAYER FEEDFORWARD NETWORKS, Chemometrics and intelligent laboratory systems, 22(2), 1994, pp. 165-189
USING MOLECULAR REPRESENTATIONS IN COMBINATION WITH NEURAL NETWORKS -A CASE-STUDY - PREDICTION OF THE HPLC RETENTION INDEX
Authors: SMITS JRM MELSSEN WJ DAALMANS GJ KATEMAN G
Citation: Jrm. Smits et al., USING MOLECULAR REPRESENTATIONS IN COMBINATION WITH NEURAL NETWORKS -A CASE-STUDY - PREDICTION OF THE HPLC RETENTION INDEX, Computers & chemistry, 18(2), 1994, pp. 157-172
DRIFT CORRECTION FOR PATTERN-CLASSIFICATION WITH NEURAL NETWORKS
Authors: SMITS JRM MELSSEN WJ DERKSEN MWJ KATEMAN G
Citation: Jrm. Smits et al., DRIFT CORRECTION FOR PATTERN-CLASSIFICATION WITH NEURAL NETWORKS, Analytica chimica acta, 284(1), 1993, pp. 91-105
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