1 / 328
文档名称:

Adaptive Learning of Polynomial Networks - Genetic Programming, Backpropagation and Bayesian Methods_Nikolay Nikolaev (Springer 2006 328s).pdf

格式:pdf   页数:328
下载后只包含 1 个 PDF 格式的文档,没有任何的图纸或源代码,查看文件列表

如果您已付费下载过本站文档,您可以点这里二次下载

Adaptive Learning of Polynomial Networks - Genetic Programming, Backpropagation and Bayesian Methods_Nikolay Nikolaev (Springer 2006 328s).pdf

上传人:bolee65 2014/4/13 文件大小:0 KB

下载得到文件列表

Adaptive Learning of Polynomial Networks - Genetic Programming, Backpropagation and Bayesian Methods_Nikolay Nikolaev (Springer 2006 328s).pdf

文档介绍

文档介绍:Adaptive Learning of
works
ic Programming, Backpropagation and
Bayesian Methods
IC AND EVOLUTIONARY
COMPUTATION SERIES
Series Editors
David E. Goldberg
University of Illinois at Urbana-Champaign
John R. Koza
Stanford University
Selected titles from the Series:
THE DESIGN OF INNOVATION: Lessons from and petent
ic Algorithms, David E. Goldberg; ISBN: 1-4020-7098-5
IC PROGRAMMING IV: Routine puter Machine
Intelligence, John R. Koza, Martin A. Keane, Matthew J. Streeter, William
Mydlowec, lessen Yu, Guido Lanza; ISBN: 1-4020-7446-8; softcover ISBN:
0-387-25067-0
EVOLUTIONARY ALGORITHMS FOR SOLVING MULTI-
OBJECTIVE PROBLEMS, Carlos A. Coello Coello, David A. Van
Veldhuizen, and Gary B. Lamont; ISBN: 0-306-46762-3
AUTOMATIC PUTER PROGRAMMING: A ic
Programming Approach, Lee Spector, ISBN: 1-4020-7894-3
IC PROGRAMMING AND DATA STRUCTURES: ic
Programming + Data Structures = Automatic Programming! William B.
Langdon; ISBN: 0-7923-8135-1
For plete listing of books in this series, go to
Adaptive Learning of
works
ic Programming, Backpropagation and
Bayesian Methods
Nikolay Y. Nikolaev
University of London
Hitoshi Iba
The University of Tokyo
^ Sprringei r
Nikolay Y. Nikolaev
University of London
Hitoshi Iba
The University of Tokyo
Library of Congress Control Number: 2006920797
ISBN-10: 0-387-31239-0 e-ISBN-10: 0-387-31240-4
ISBN-13: 978-0387-312392 e-ISBN-13: 978-0387-31240-
© 2006 by Springer Science+Business Media, Inc.
All rights reserved. This work may not be translated or copied in whole or in part
without the written permission of the publisher (Springer Science -f- Business
Media, Inc., 233 Spring Street, New York, NY 10013, USA), except for brief
excerpts in connection with reviews or scholarly analysis. Use in connection with
any form of information storage and retrieval, electronic adaptation, computer
software, or by similar or dissimilar methodology now known