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Book Categories |
Preface | ||
List of Contributors | ||
Pt. I | Genetic Algorithms | 1 |
Ch. 1 | Genetic Algorithms and Beyond | 3 |
Ch. 2 | Hybrid Genetic Algorithms | 55 |
Ch. 3 | Robust Soft Sensor Development Using Genetic Programming | 69 |
Ch. 4 | Genetic Algorithms in Molecular Modelling: A Review | 109 |
Ch. 5 | MobyDigs: Software for Regression and Classification Models by Genetic Algorithms | 141 |
Ch. 6 | Genetic Algorithm-PLS as a Tool for Wavelength Selection in Spectral Data Sets | 169 |
Pt. II | Artificial Neural Networks | 197 |
Ch. 7 | Basics of Artificial Neural Networks | 199 |
Ch. 8 | Artificial Neural Networks in Molecular Structures - Property Studies | 231 |
Ch. 9 | Neural Networks for the Calibration of Voltammetric Data | 257 |
Ch. 10 | Neural Networks and Genetic Algorithms Applications in Nuclear Magnetic Resonance (NMR) Spectroscopy | 281 |
Ch. 11 | A QSAR Model for Predicting the Acute Toxicity of Pesticides to Gammarids | 323 |
Conclusion | 341 | |
Ch. 12 | Applying Genetic Algorithms and Neural Networks to Chemometric Problems | 343 |
Index | 377 |
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Add 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 to the inventory that you are selling on WonderClubX
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Add 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 to your collection on WonderClub |