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Feedforward neural network methodology

Feedforward neural network methodology (Loan 2 times)

Material type
단행본
Personal Author
Fine, Terrence L.
Title Statement
Feedforward neural network methodology / Terrence L. Fine.
Publication, Distribution, etc
New York :   Springer,   c1999.  
Physical Medium
xvi, 340 p. : ill. ; 24 cm.
Series Statement
Statistics for engineering and information science.
ISBN
0387987452 (hardcover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references (p. [309]-327) and index.
Subject Added Entry-Topical Term
Neural networks (Computer science).
000 00762camuuu200229 a 4500
001 000001043790
005 19991115103215.0
008 981130s1999 nyua b 001 0 eng
010 ▼a 98053188
020 ▼a 0387987452 (hardcover : alk. paper)
040 ▼a DLC ▼c DLC ▼d 244002
049 0 ▼l 151072145
050 0 0 ▼a QA76.87 ▼b .F56 1999
082 0 0 ▼a 006.3/2 ▼2 21
090 ▼a 006.32 ▼b F495f
100 1 ▼a Fine, Terrence L.
245 1 0 ▼a Feedforward neural network methodology / ▼c Terrence L. Fine.
260 ▼a New York : ▼b Springer, ▼c c1999.
300 ▼a xvi, 340 p. : ▼b ill. ; ▼c 24 cm.
440 0 0 ▼a Statistics for engineering and information science.
504 ▼a Includes bibliographical references (p. [309]-327) and index.
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 F495f Accession No. 151072145 Availability Available Due Date Make a Reservation Service C

Contents information

Table of Contents

Objectives, Motivation, Background, and Organization.- Perceptions?Networks with a Single Node.- Feedforward Networks I: Generalities and LTU Nodes.- Feedforward Networks II: Real-Valued Nodes.- Algorithms for Designing Feedforward Networks.- Architecture Selection and Penalty Terms.- Generalization and Learning.


Information Provided By: : Aladin

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