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Feedforward neural network methodology

Feedforward neural network methodology (2회 대출)

자료유형
단행본
개인저자
Fine, Terrence L.
서명 / 저자사항
Feedforward neural network methodology / Terrence L. Fine.
발행사항
New York :   Springer,   c1999.  
형태사항
xvi, 340 p. : ill. ; 24 cm.
총서사항
Statistics for engineering and information science.
ISBN
0387987452 (hardcover : alk. paper)
서지주기
Includes bibliographical references (p. [309]-327) and index.
일반주제명
Neural networks (Computer science).
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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).

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/과학기술실/ 청구기호 006.32 F495f 등록번호 151072145 도서상태 대출가능 반납예정일 예약 서비스 C

컨텐츠정보

목차

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.


정보제공 : Aladin

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