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Nature-Inspired Methods In Chemometrics Book

Nature-Inspired Methods In Chemometrics
Nature-Inspired Methods In Chemometrics, In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec, Nature-Inspired Methods In Chemometrics has a rating of 3.5 stars
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Nature-Inspired Methods In Chemometrics, In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec, Nature-Inspired Methods In Chemometrics
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  • Nature-Inspired Methods In Chemometrics
  • Written by author Riccardo Leardi
  • Published by Elsevier Science, December 2003
  • In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec
  • In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec
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Preface
List of Contributors
Pt. IGenetic Algorithms1
Ch. 1Genetic Algorithms and Beyond3
Ch. 2Hybrid Genetic Algorithms55
Ch. 3Robust Soft Sensor Development Using Genetic Programming69
Ch. 4Genetic Algorithms in Molecular Modelling: A Review109
Ch. 5MobyDigs: Software for Regression and Classification Models by Genetic Algorithms141
Ch. 6Genetic Algorithm-PLS as a Tool for Wavelength Selection in Spectral Data Sets169
Pt. IIArtificial Neural Networks197
Ch. 7Basics of Artificial Neural Networks199
Ch. 8Artificial Neural Networks in Molecular Structures - Property Studies231
Ch. 9Neural Networks for the Calibration of Voltammetric Data257
Ch. 10Neural Networks and Genetic Algorithms Applications in Nuclear Magnetic Resonance (NMR) Spectroscopy281
Ch. 11A QSAR Model for Predicting the Acute Toxicity of Pesticides to Gammarids323
Conclusion341
Ch. 12Applying Genetic Algorithms and Neural Networks to Chemometric Problems343
Index377


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Nature-Inspired Methods In Chemometrics, In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec, Nature-Inspired Methods In Chemometrics

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Nature-Inspired Methods In Chemometrics, In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec, Nature-Inspired Methods In Chemometrics

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Nature-Inspired Methods In Chemometrics, In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sec, Nature-Inspired Methods In Chemometrics

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