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Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)100%: Dunne, Robert A.: Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics) (ISBN: 9780471741084) 2007, Erstausgabe, in Englisch, Broschiert.
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Statistical Approach to Neural Networks for Pattern Recognition100%: Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition (ISBN: 9780470148143) Wiley, Vereinigte Staaten von Amerika, in Englisch, auch als eBook.
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Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
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9780471741084 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition
Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition (2007)

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ISBN: 9780471741084 bzw. 0471741086, in Englisch, John Wiley And Sons Ltd, gebundenes Buch, neu.

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This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians. Questions arise when statisticians are first confronted with such a model, and this book's aim is to provide thorough answers. The following are a few questions that are considered in this book and are explored: how robust is the model to outliers, could the model be made more robust, which points wi... This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians. Questions arise when statisticians are first confronted with such a model, and this book's aim is to provide thorough answers. The following are a few questions that are considered in this book and are explored: how robust is the model to outliers, could the model be made more robust, which points will have a high leverage, what are good starting values for the fitting algorithm, etc. Discussions include the use of MLP models with spatial data as well as the influence and sensitivity curves of the MLP. The question of why the MLP is a (fairly) robust model is answered and modifications to make it very robust are considered.Taal: Engels;Oorspronkelijke titel: A Statistical Approach to Neural Networks for Pattern Recognition;Afmetingen: 0x0x0 mm;Gewicht: 538,00 gram;Verschijningsdatum: augustus 2007;ISBN10: 0471741086;ISBN13: 9780471741084; Engelstalig | Hardcover | 2007.
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9780471741084 - Dunne, Robert A.: Statistical Approach to Neural Networks for Pattern Recognition
Dunne, Robert A.

Statistical Approach to Neural Networks for Pattern Recognition

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW EB

ISBN: 9780471741084 bzw. 0471741086, in Englisch, Wiley, neu, E-Book.

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Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum download.
Computers, A Statistical Approach to Neural Networks for Pattern Recognition, An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models. This book aims to answer questions that arise when statisticians are first confronted with this type of model, such as: How robust is the model to outliers? Could the model be made more robust? Which points will have a high leverage? What are good starting values for the fitting algorithm? Thorough answers to these questions and many more are included, as well as worked examples and selected problems for the reader. Discussions on the use of MLP models with spatial and spectral data are also included. Further treatment of highly important principal aspects of the MLP are provided, such as the robustness of the model in the event of outlying or atypical data; the influence and sensitivity curves of the MLP; why the MLP is a fairly robust model; and modifications to make the MLP more robust. The author also provides clarification of several misconceptions that are prevalent in existing neural network literature. Throughout the book, the MLP model is extended in several directions to show that a statistical modeling approach can make valuable contributions, and further exploration for fitting MLP models is made possible via the R and S-PLUS codes that are available on the book's related Web site. A Statistical Approach to Neural Networks for Pattern Recognition successfully connects logistic regression and linear discriminant analysis, thus making it a critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and electrical engineering. eBook.
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9780471741084 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition
Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition (2007)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN HC NW FE

ISBN: 9780471741084 bzw. 0471741086, in Englisch, 288 Seiten, Wiley-Interscience, gebundenes Buch, neu, Erstausgabe.

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Von Händler/Antiquariat, Premier Books USA.
An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models. This book aims to answer questions that arise when statisticians are first confronted with this type of model, such as: How robust is the model to outliers? Could the model be made more robust? Which points will have a high leverage? What are good starting values for the fitting algorithm? Thorough answers to these questions and many more are included, as well as worked examples and selected problems for the reader. Discussions on the use of MLP models with spatial and spectral data are also included. Further treatment of highly important principal aspects of the MLP are provided, such as the robustness of the model in the event of outlying or atypical data; the influence and sensitivity curves of the MLP; why the MLP is a fairly robust model; and modifications to make the MLP more robust. The author also provides clarification of several misconceptions that are prevalent in existing neural network literature. Throughout the book, the MLP model is extended in several directions to show that a statistical modeling approach can make valuable contributions, and further exploration for fitting MLP models is made possible via the R and S-PLUS® codes that are available on the book's related Web site. A Statistical Approach to Neural Networks for Pattern Recognition successfully connects logistic regression and linear discriminant analysis, thus making it a critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and electrical engineering., Hardcover, Ausgabe: 1, Label: Wiley-Interscience, Wiley-Interscience, Produktgruppe: Book, Publiziert: 2007-07-16, Studio: Wiley-Interscience, Verkaufsrang: 5896412.
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9780470148143 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition
Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition

Lieferung erfolgt aus/von: Deutschland DE NW EB

ISBN: 9780470148143 bzw. 0470148144, in Deutsch, Wiley, Vereinigte Staaten von Amerika, neu, E-Book.

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A Statistical Approach to Neural Networks for Pattern Recognition, An accessible and up-to-date treatment featuring the connectionbetween neural networks and statistics A Statistical Approach to Neural Networks for PatternRecognition presents a statistical treatment of the MultilayerPerceptron (MLP), which is the most widely used of the neuralnetwork models. This book aims to answer questions that arise whenstatisticians are first confronted with this type of model, suchas: How robust is the model to outliers? Could the model be made more robust? Which points will have a high leverage? What are good starting values for the fitting algorithm? Thorough answers to these questions and many more are included,as well as worked examples and selected problems for the reader.Discussions on the use of MLP models with spatial and spectral dataare also included. Further treatment of highly important principalaspects of the MLP are provided, such as the robustness of themodel in the event of outlying or atypical data; the influence andsensitivity curves of the MLP; why the MLP is a fairly robustmodel; and modifications to make the MLP more robust. The authoralso provides clarification of several misconceptions that areprevalent in existing neural network literature. Throughout the book, the MLP model is extended in severaldirections to show that a statistical modeling approach can makevaluable contributions, and further exploration for fitting MLPmodels is made possible via the R and S-PLUS® codes that areavailable on the book's related Web site. A Statistical Approach toNeural Networks for Pattern Recognition successfully connectslogistic regression and linear discriminant analysis, thus makingit a critical reference and self-study guide for students andprofessionals alike in the fields of mathematics, statistics,computer science, and electrical engineering.
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9780471741084 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
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Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics) (2007)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN HC US

ISBN: 9780471741084 bzw. 0471741086, in Englisch, Wiley-Interscience, gebundenes Buch, gebraucht.

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9780471741084 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition
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Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition

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ISBN: 9780471741084 bzw. 0471741086, in Englisch, Wiley– Blackwell, gebundenes Buch, neu.

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Hardcover.
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9780470148143 - Robert A. Dunne: Statistical Approach to Neural Networks for Pattern Recognition
Robert A. Dunne

Statistical Approach to Neural Networks for Pattern Recognition

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ISBN: 9780470148143 bzw. 0470148144, in Englisch, Wiley, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.

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