| Document Type
|
:
|
BL
|
| Record Number
|
:
|
994111
|
| Doc. No
|
:
|
b748481
|
| Main Entry
|
:
|
Dunne, Robert A.
|
| Title & Author
|
:
|
A statistical approach to neural networks for pattern recognition /\ Robert A. Dunne.
|
| Publication Statement
|
:
|
Hoboken, N.J. ;Chichester :: Wiley,, ©2007.
|
| Page. NO
|
:
|
1 online resource (xvii, 268 pages) :: illustrations
|
| ISBN
|
:
|
0470148144
|
|
|
:
|
: 0470148152
|
|
|
:
|
: 9780470148143
|
|
|
:
|
: 9780470148150
|
|
|
:
|
0471741086
|
|
|
:
|
9780471741084
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
| Contents
|
:
|
A Statistical Approach to Neural Networks for Pattern Recognition; Contents; Notation and Code Examples; Preface; Acknowledgments; 1 Introduction; 2 The Multi-Layer Perceptron Model; 3 Linear Discriminant Analysis; 4 Activation and Penalty Functions; 5 Model Fitting and Evaluation; 6 The Task-based MLP; 7 Incorporating Spatial Information into an MLP Classifier; 8 Influence Curves for the Multi-layer Perceptron Classifier; 9 The Sensitivity Curves of the MLP Classifier; 10 A Robust Fitting Procedure for MLP Models; 11 Smoothed Weights; 12 Translation Invariance; 13 Fixed-slope Training.
|
| Abstract
|
:
|
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 i.
|
| Subject
|
:
|
Neural networks (Computer science)
|
| Subject
|
:
|
Perceptrons.
|
| Subject
|
:
|
Perceptrons.
|
| Subject
|
:
|
Réseaux neuronaux (Informatique)
|
| Subject
|
:
|
COMPUTERS-- Neural Networks.
|
| Subject
|
:
|
Neural networks (Computer science)
|
| Subject
|
:
|
Perceptrons.
|
| Dewey Classification
|
:
|
006.32
|
| LC Classification
|
:
|
Q327.D86 2007eb
|