A Statistical Approach to Neural Networks for Pattern Recognition
$344.47
- Hardcover
288 pages
- Release Date
7 August 2007
Summary
Unveiling Neural Networks: A Statistical Perspective 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), 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…
Book Details
| ISBN-13: | 9780471741084 |
|---|---|
| ISBN-10: | 0471741086 |
| Series: | Wiley Series in Computational Statistics |
| Author: | Robert A. Dunne |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Interscience |
| Format: | Hardcover |
| Number of Pages: | 288 |
| Edition: | 1st |
| Release Date: | 7 August 2007 |
| Weight: | 535g |
| Dimensions: | 242mm x 161mm x 19mm |
What They're Saying
Critics Review
“This book is a good introduction to neural networks for a statistician.” (Journal of the American Statistical Association, March 2009)
“The book provides an excellent introduction to neutral networks from a statistical perspective.” (International Statistical Review, 2008)
“Successful connects logistic regression and linear discriminant analysis, thus making it critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and electrical engineering.” (Mathematical Reviews)
About The Author
Robert A. Dunne
Robert A. Dunne, PhD, is Research Scientist in the Mathematical and Information Sciences Division of the Commonwealth Scientific and Industrial Research Organization (CSIRO) in North Ryde, Australia. Dr. Dunne received his PhD from Murdoch University, and his research interests include remote sensing and bioinformatics.
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