×


 x 

Shopping cart
Robert A. Dunne - Statistical Approach to Neural Networks for Pattern Recognition - 9780471741084 - V9780471741084
Stock image for illustration purposes only - book cover, edition or condition may vary.

Statistical Approach to Neural Networks for Pattern Recognition

€ 149.99
FREE Delivery in Ireland
Description for Statistical Approach to Neural Networks for Pattern Recognition Hardcover. 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. Series: Wiley Series in Computational Statistics. Num Pages: 288 pages, Illustrations. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 19. Weight in Grams: 538.
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 ... Read more

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.

Show Less

Product Details

Format
Hardback
Publication date
2007
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
288
Condition
New
Series
Wiley Series in Computational Statistics
Number of Pages
288
Place of Publication
, United States
ISBN
9780471741084
SKU
V9780471741084
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About 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.

Reviews for Statistical Approach to Neural Networks for Pattern Recognition
"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 ... Read more

Goodreads reviews for Statistical Approach to Neural Networks for Pattern Recognition


Subscribe to our newsletter

News on special offers, signed editions & more!