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Subject index volume 34
Chemometrics and intelligent laboratory systems ELSEVIER
Chemometrics and Intelligent Laboratory Systems 34 (1996) 307-309
Subject Index Volume 34 Aerosols Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Air pollution Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Anscombe transformation De-noising of SIMS images via wavelet shrinkage 263 Artificial network Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Auto-associative neural networks Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Back propagation algorithm Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Bias Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Bootstrap Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Chromatography Wavelet denoising of Gaussian peaks: a comparative study 187 Comment Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Continuum regression Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Correction techniques Correction techniques for long-term studies in analytical chemistry 173 Cross validation Double-case diagnostic for outliers identification 117
Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Crystal surface Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55 D-optimal design Multivariate design and modeling in QSAR 1 Enantioseparations Towards an expert system for enantioseparations: induction of rules using machine learning 21 Enzymatic browning of vegetables Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Expert systems Towards an expert system for enantioseparations: induction of rules using machine learning 21 Feature extraction Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Filter Wavelet denoising of Gaussian peaks: a comparative study 187 Fourier transform Wavelet denoising of Gaussian peaks: a comparative study 187 Fractal dimensions Chemometrical approach to the determination of the fractal dimension(s) of real objects 103 Fractional factorial design Multivariate design and modeling in QSAR 1 Gaussian and Poisson distribution De-noising of SIMS images via wavelet shrinkage 263 Genetic algorithm methodology Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55
308
Subject Index Volume 34
Interference assessment Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Jackknife estimator Double-case diagnostic for outliers identification 117 Linear error model Statistical model of systematic errors: linear error model 41 Long-term studies in analytical chemistry Correction techniques for long-term studies in analytical chemistry 173 Machine learning Towards an expert system for enantioseparations: induction of rules using machine learning 21 Maximum likelihood Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Measurement errors Statistical model for estimating measurement error in the congener-specific analysis of PCBs by gas chromatography 217 Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Model validation Multivariate design and modeling in QSAR 1 Multiway methods Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Multi-layered feed-forward Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Multivariate calibration Double-case diagnostic for outliers identification 117 Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Multivariate modeling Multivariate design and modeling in QSAR 1 Multivariate peak approaches Multivariate peak purity approaches 139 Near-infrared Double-case diagnostic for outliers identification 117 Neural networks Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of
radial base function and multi-layer feed-forward neural network models" 299 Ordinary least squares Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Outliers Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Overfitting Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Partial least squares Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Phenol determination Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 PLS Double-case diagnostic for outliers identification 117 Polarography Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Polyphenol oxidase Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Prediction variance Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Principal component analysis Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Principal component regression Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Principal properties Multivariate design and modeling in QSAR 1 Pyrolysis mass spectrometry Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Radial base function Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Regression Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283
Subject Index Volume 34
309
Repair functions Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55 Response to Comment Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299
SIMS De-noising of SIMS images via wavelet shrinkage 263 Simulated annealing Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Statistical model of systematic errors Statistical model of systematic errors: linear error model 41
Seed typing Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Self organising feature maps Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Sensitivity analysis Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Shape characterization Chemometrical approach to the determination of the fractal dimension(s) of real objects 103 Signal processing Wavelet denoising of Gaussian peaks: a comparative study 187
Thresholding De-noising of SIMS images via wavelet shrinkage 263 Tolerance interval Statistical model for estimating measurement error in the congener-specific analysis of PCBs by gas chromatography 217 Tutorial Multivariate peak purity approaches 139 UV spectrophotometry Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Wavelet shrinkage De-noising of SIMS images via wavelet shrinkage 263 Wavelet transform Wavelet denoising of Gaussian peaks: a comparative study 187
Chemometrics and Intelligent Laboratory Systems 34 (1996) 307-309
Subject Index Volume 34 Aerosols Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Air pollution Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Anscombe transformation De-noising of SIMS images via wavelet shrinkage 263 Artificial network Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Auto-associative neural networks Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Back propagation algorithm Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Bias Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Bootstrap Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Chromatography Wavelet denoising of Gaussian peaks: a comparative study 187 Comment Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Continuum regression Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Correction techniques Correction techniques for long-term studies in analytical chemistry 173 Cross validation Double-case diagnostic for outliers identification 117
Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Crystal surface Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55 D-optimal design Multivariate design and modeling in QSAR 1 Enantioseparations Towards an expert system for enantioseparations: induction of rules using machine learning 21 Enzymatic browning of vegetables Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Expert systems Towards an expert system for enantioseparations: induction of rules using machine learning 21 Feature extraction Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Filter Wavelet denoising of Gaussian peaks: a comparative study 187 Fourier transform Wavelet denoising of Gaussian peaks: a comparative study 187 Fractal dimensions Chemometrical approach to the determination of the fractal dimension(s) of real objects 103 Fractional factorial design Multivariate design and modeling in QSAR 1 Gaussian and Poisson distribution De-noising of SIMS images via wavelet shrinkage 263 Genetic algorithm methodology Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55
308
Subject Index Volume 34
Interference assessment Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Jackknife estimator Double-case diagnostic for outliers identification 117 Linear error model Statistical model of systematic errors: linear error model 41 Long-term studies in analytical chemistry Correction techniques for long-term studies in analytical chemistry 173 Machine learning Towards an expert system for enantioseparations: induction of rules using machine learning 21 Maximum likelihood Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Measurement errors Statistical model for estimating measurement error in the congener-specific analysis of PCBs by gas chromatography 217 Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Model validation Multivariate design and modeling in QSAR 1 Multiway methods Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Multi-layered feed-forward Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Multivariate calibration Double-case diagnostic for outliers identification 117 Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Multivariate modeling Multivariate design and modeling in QSAR 1 Multivariate peak approaches Multivariate peak purity approaches 139 Near-infrared Double-case diagnostic for outliers identification 117 Neural networks Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of
radial base function and multi-layer feed-forward neural network models" 299 Ordinary least squares Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Outliers Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Overfitting Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers 109 Partial least squares Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Phenol determination Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 PLS Double-case diagnostic for outliers identification 117 Polarography Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography 245 Polyphenol oxidase Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods 85 Prediction variance Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Principal component analysis Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Principal component regression Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283 Principal properties Multivariate design and modeling in QSAR 1 Pyrolysis mass spectrometry Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Radial base function Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Regression Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets 231 Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler 283
Subject Index Volume 34
309
Repair functions Lethalization, penalty and repair functions for constraint handling in the genetic algorithm methodology 55 Response to Comment Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299
SIMS De-noising of SIMS images via wavelet shrinkage 263 Simulated annealing Analysis of source contributions to the ambient aerosol sample by simulated annealing 275 Statistical model of systematic errors Statistical model of systematic errors: linear error model 41
Seed typing Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Self organising feature maps Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks 69 Sensitivity analysis Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models 293 Response to "Comment on a recent sensitivity analysis of radial base function and multi-layer feed-forward neural network models" 299 Shape characterization Chemometrical approach to the determination of the fractal dimension(s) of real objects 103 Signal processing Wavelet denoising of Gaussian peaks: a comparative study 187
Thresholding De-noising of SIMS images via wavelet shrinkage 263 Tolerance interval Statistical model for estimating measurement error in the congener-specific analysis of PCBs by gas chromatography 217 Tutorial Multivariate peak purity approaches 139 UV spectrophotometry Interference assessment and correction in the partial least squares regression method for multicomponent determination by UV spectrophotometry 203 Wavelet shrinkage De-noising of SIMS images via wavelet shrinkage 263 Wavelet transform Wavelet denoising of Gaussian peaks: a comparative study 187