Pattern Recognition In Chemistry

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Pattern Recognition In Chemistry

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Author : Kurt Varmuza
language : en
Publisher: Springer
Release Date : 1980

Pattern Recognition In Chemistry written by Kurt Varmuza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Analytical chemistry categories.

Chemical Pattern Recognition

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Author : Oldřich Štrouf
language : en
Publisher: Wiley-Blackwell
Release Date : 1986

Chemical Pattern Recognition written by Oldřich Štrouf and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Science categories.

Machine Learning And Pattern Recognition Methods In Chemistry From Multivariate And Data Driven Modeling

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Author : Jahan B. Ghasemi
language : en
Publisher: Elsevier
Release Date : 2022-10-20

Machine Learning And Pattern Recognition Methods In Chemistry From Multivariate And Data Driven Modeling written by Jahan B. Ghasemi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-20 with Science categories.

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

Chemical Applications Of Pattern Recognition

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Author : Peter C. Jurs
language : en
Publisher: Wiley-Interscience
Release Date : 1975

Chemical Applications Of Pattern Recognition written by Peter C. Jurs and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Psychology categories.

Pattern Recognition In Chemistry

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Author : Bruce R. Kowalski
language : en
Publisher:
Release Date : 1982

Pattern Recognition In Chemistry written by Bruce R. Kowalski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Chemistry, Analytic categories.

Potential Pattern Recognition In Chemical And Medical Decision Making

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Author : D. Coomans
language : en
Publisher: Research Studies Press Limited
Release Date : 1986

Potential Pattern Recognition In Chemical And Medical Decision Making written by D. Coomans and has been published by Research Studies Press Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.

Multivariate Pattern Recognition In Chemometrics

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Author : R.G. Brereton
language : en
Publisher: Elsevier
Release Date : 1992-09-04

Multivariate Pattern Recognition In Chemometrics written by R.G. Brereton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-09-04 with Science categories.

Chemometrics originated from multivariate statistics in chemistry, and this field is still the core of the subject. The increasing availability of user-friendly software in the laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 1987-1992, aimed mainly at professionals in industry. The book covers approaches for pattern recognition as applied, primarily, to multivariate chemical data. These include data reduction and display techniques, principal components analysis and methods for classification and clustering. Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will. Worked examples and exercises are given, making the volume valuable for courses. Tutorial versions of SPECTRAMAP and SIRIUS are optionally available as a Software Supplement, at a low price, to accompany the text.

Chemometrics For Pattern Recognition

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Author : Richard G. Brereton
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-28

Chemometrics For Pattern Recognition written by Richard G. Brereton and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-28 with Science categories.

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.

Pattern Recognition Approach To Data Interpretation

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Author : Diane Wolff
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Pattern Recognition Approach To Data Interpretation written by Diane Wolff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.

Pattern Recognition

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Author : Bruce G. Batchelor
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Pattern Recognition written by Bruce G. Batchelor and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

Pattern recognition is a child of modern technology; electronics and computers in particular have inspired research and made it possible to develop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subject, but there is evidence of a schism developing between these two approaches. Practical machines have usually been designed on an ad hoc basis, with little use being made of advanced theory. It is difficult to provide a rigorous mathematical treatment of many problems pertinent to a practical situation. This is due, in part at least, to a conceptual rift between theory and practice. The mathematics of optimal systems is well developed, whereas pragmatists are more concerned with vaguer ideas of reasonable and sufficient. In some situations, the quest for optimality can constrain research and retard practical progress. This can occur, for example, if too narrow a view is taken of "optimal": the accuracy of a system may be optimal whereas its speed, cost, or physical size may be grossly suboptimal. The objective of this book is to present a glimpse of the pragmatic approach to pattern recognition; there already exist a number of excellent texts describing theoretical developments.