NDLI: Design and Training for Combinational Neural-Logic Systems

Content Provider	IEEE Xplore Digital Library
Author	Lam, H.K. Leung, F.H.F.
Copyright Year	1982
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
Sponsorship	IEEE Industrial Electronics Society
Starting Page	612
Ending Page	619
Page Count	8
File Size	294961
File Format	PDF
ISSN	02780046
Volume Number	54
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Flip-flops Signal processing algorithms Combinational circuits Fuzzy set theory Genetic algorithms Speech recognition Logic functions Backpropagation algorithms Design methodology neural network Cantonese speech recognition combinational neural-logic system
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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