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A statistical approach to neural networks for pattern recognition

A statistical approach to neural networks for pattern recognition

Material type
단행본
Personal Author
Dunne, Robert A.
Title Statement
A statistical approach to neural networks for pattern recognition / Robert A. Dunne.
Publication, Distribution, etc
Hoboken, N.J. ;   Chichester :   Wiley ,   c2007.  
Physical Medium
xvii, 268 p. : ill. ; 25 cm.
Series Statement
Wiley series in computational statistics
ISBN
9780471741084 (hbk.) 0471741086 (hbk.)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Perceptrons. Neural networks (Computer science)
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008 070830s2007 njua b 001 0 eng d
010 ▼a 2007279878
015 ▼a GBA718588 ▼2 bnb
020 ▼a 9780471741084 (hbk.)
020 ▼a 0471741086 (hbk.)
035 ▼a (KERIS)REF000013611816
040 ▼a UKM ▼c UKM ▼d BAKER ▼d BTCTA ▼d YDXCP ▼d ORU ▼d DLC ▼d 244002
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050 0 0 ▼a Q327 ▼b .D86 2007
082 0 4 ▼a 006.32 ▼2 22
090 ▼a 006.32 ▼b D923s
100 1 ▼a Dunne, Robert A.
245 1 2 ▼a A statistical approach to neural networks for pattern recognition / ▼c Robert A. Dunne.
260 ▼a Hoboken, N.J. ; ▼a Chichester : ▼b Wiley , ▼c c2007.
300 ▼a xvii, 268 p. : ▼b ill. ; ▼c 25 cm.
440 0 ▼a Wiley series in computational statistics
504 ▼a Includes bibliographical references and index.
650 0 ▼a Perceptrons.
650 0 ▼a Neural networks (Computer science)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.32 D923s Accession No. 151244122 Availability Available Due Date Make a Reservation Service C

Contents information

Table of Contents

Notation and Code Examples.

Preface.

Acknowledgments.

1. Introduction.

2. The Multi-Layer Perception 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.

Appendix A. Function Minimization.

Appendix B. Maximum Values of the Influence Curve.

Topic Index.


Information Provided By: : Aladin

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