PolyU IR
 

PolyU Institutional Repository >
Computing >
COMP Conference Papers & Presentations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1179

Title: Step acceleration based training algorithm for feedforward neural networks
Authors: Li, Yanlai
Wang, Kuanquan
Zhang, David D.
Subjects: Computation theory
Computer simulation
Convergence of numerical methods
Extrapolation
Feedforward neural networks
Functions
Issue Date: 2002
Publisher: IEEE Computer Society
Citation: 16th International Conference on Pattern Recognition : August 11-15, 2002, Québec City, Québec, Canada : proceedings, v. 2, p. 84-87.
Abstract: This paper presents a very fast step acceleration based training algorithm (SATA) for multilayer feedforward neural network training. The most outstanding virtue of this algorithm is that it does not need to calculate the gradient of the target function. In each iteration step, the computation only concentrates on the corresponding varied part. The proposed algorithm has attributes in simplicity, flexibility and feasibility, as well as high speed of convergence. Compared with the other methods, including the conventional BP, the conjugate gradient (CG), and the BP based on weight extrapolation (BPWE), many simulations have confirmed the superiority of this algorithm in terms of converging speed and computation time required.
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1179
ISBN: 076951695X
0769516963
ISSN: 10514651
Appears in Collections:COMP Conference Papers & Presentations

Files in This Item:

File Description SizeFormat
step-acceleration_02.pdf154.23 kBAdobe PDFView/Open



Facebook Facebook del.icio.us del.icio.us LinkedIn LinkedIn


All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
No item in the PolyU IR may be reproduced for commercial or resale purposes.

 

© Pao Yue-kong Library, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Powered by DSpace (Version 1.5.2)  © MIT and HP
Feedback | Privacy Policy Statement | Copyright & Restrictions - Feedback