NDLI: Distributed decomposition architectures for neural decision-makers

Content Provider	IEEE Xplore Digital Library
Author	Mukhopadhyay, S. Haiying Wang
Copyright Year	1999
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA (Mukhopadhyay, S.)
Abstract	There is a growing interest in the neural networks community to employ systems consisting of multiple small neural decision-making modules, instead of a single large monolithic one. Motivated by such interests and other studies of distributed decision architectures in large-scale systems theory, we propose two feature decomposition models (parallel and tandem) for interconnecting multiple neural networks. In both these models, the overall feature set is partitioned into several disjoint subsets so that each subset is processed by a separate neural network. In the parallel interconnection, there is no communication between the decision-makers during the decision-making process, and their outputs are combined by a combining or fusion function to generate overall decisions. In contrast, a tandem connection of two networks (for illustration purposes) requires that the outputs of one (the leader) form additional inputs of the other (the follower), and the output of the latter determines the overall decision. A feature decomposition algorithm is presented to decide how to partition the total feature set between the individual modules, based on training data. The problem of learning (and the necessary information flow) in the two distributed architectures is examined. Finally, the performance of a feature decomposition distributed model is compared with that of a single monolithic network in a bench-mark real-world pattern recognition problem to illustrate the advantages of the distributed approach.
Starting Page	2635
Ending Page	2640
File Size	674697
Page Count	6
File Format	PDF
ISBN	0780352505
ISSN	01912216
DOI	10.1109/CDC.1999.831326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Decision making Computer architecture Control systems Large-scale systems Pattern recognition Switches Distributed computing Fusion power generation Partitioning algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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