Chemical Pattern Recognition PDF Download
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Author: Oldřich Štrouf
Publisher: Wiley-Blackwell
ISBN:
Category : Science
Languages : en
Pages : 234
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Book Description
Author: Oldřich Štrouf
Publisher: Wiley-Blackwell
ISBN:
Category : Science
Languages : en
Pages : 234
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Book Description
Author: Kurt Varmuza
Publisher: Springer
ISBN: 9780387102733
Category : Analytical chemistry
Languages : en
Pages : 0
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Book Description
Author: Jahan B. Ghasemi
Publisher: Elsevier
ISBN: 0323907067
Category : Science
Languages : en
Pages : 212
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Book Description
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an introduction of univariate and multivariate statistical analysis, the book then explores multivariate calibration and validation methods. Soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry are then discussed, providing useful examples of the techniques in chemistry applications. Drawing on the knowledge of a global team of researchers, this book will be a helpful guide for chemists interested in developing their skills in multivariate data and error analysis. - Provides an introductory overview of statistical methods for the analysis and interpretation of chemical data - Discusses the use of machine learning for recognizing patterns in multidimensional chemical data - Identifies common sources of multivariate errors
Author: Anthony J. Myles
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 272
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Book Description
Author: Richard G. Brereton
Publisher: John Wiley & Sons
ISBN: 0470987251
Category : Science
Languages : en
Pages : 532
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Book Description
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.
Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 136
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Book Description
Author: D. Coomans
Publisher: Research Studies Press Limited
ISBN:
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
Author: Richard G. Brereton
Publisher: John Wiley & Sons
ISBN: 9780470746479
Category : Science
Languages : en
Pages : 522
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Book Description
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.
Author: Peter C. Jurs
Publisher: Wiley-Interscience
ISBN:
Category : Psychology
Languages : en
Pages : 200
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Book Description
Author: Peter Wing-On Kwan
Publisher:
ISBN:
Category : Pattern perception
Languages : en
Pages : 240
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Book Description
