Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1419
Title: | Design and training for combinational neural-logic systems | Authors: | Lam, HK Leung, FHF |
Issue Date: | Feb-2007 | Source: | IEEE transactions on industrial electronics, Feb. 2007, v. 54, no. 1, p. 612-619 | Abstract: | This paper presents the combinational neural-logic system. The basic components, i.e., the neural-logic-AND, -OR, and -NOT gates, will be proposed. As different applications have different characteristics, a traditional neural network with a common structure might not handle every application well if some network connections are redundant and cause internal disturbances, which may downgrade the training and network performance. In this paper, the proposed neural-logic gates are the basic building blocks for the applications. Based on the knowledge of the application and the neural-logic design methodology, a combinational neural-logic system can be designed systematically to incorporate the characteristics of the application into the structure of the combinational neural-logic system. It will enhance the training and network performance. The parameters of the combinational neural-logic system will be trained by the genetic algorithm. To illustrate the merits of the proposed approach, the combinational neural-logic system will be realized practically to recognize Cantonese speech commands for an electronic book. | Keywords: | Cantonese speech recognition Combinational neural-logic system Neural network |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on industrial electronics | ISSN: | 0278-0046 | EISSN: | 1557-9948 | DOI: | 10.1109/TIE.2006.885446 | Rights: | © 2007 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. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Combinational neural-logic systems_07.pdf | 286.95 kB | Adobe PDF | View/Open |
Page views
137
Last Week
1
1
Last month
Citations as of Sep 8, 2024
Downloads
414
Citations as of Sep 8, 2024
SCOPUSTM
Citations
19
Last Week
0
0
Last month
0
0
Citations as of Sep 12, 2024
WEB OF SCIENCETM
Citations
15
Last Week
0
0
Last month
0
0
Citations as of Sep 12, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.