NDLI: Self-organizing swarm (SOSwarm) for financial credit-risk assessment

Content Provider	IEEE Xplore Digital Library
Author	O'Neill, M. Brabazon, A.
Copyright Year	2008
Description	Author affiliation: Natural Comput. Res.&Applic. Group, Univ. Coll. Dublin, Dublin (O'Neill, M.; Brabazon, A.)
Abstract	This paper applies a self-organizing particle swarm algorithm, SOSwarm, for the purposes of credit-risk assessment. SoSwarm can be applied for unsupervised clustering and for classification. In the algorithm, input vectors are projected into a lower dimensional map space producing a visual representation of the input data in a manner similar to a self-organizing map (SOM). However, unlike SOM, the nodes (particles) in this map react to input data during the learning process by modifying their velocities using an adaptation of the particle swarm optimization velocity update step. The utility of SoSwarm is tested by applying it to two important credit-risk assessment problems drawn from the domain of finance, namely the prediction of corporate bond ratings and the prediction of corporate failure. The results obtained on the financial benchmark problems are highly-competitive against those of traditional classification methodologies. The paper makes a further contribution showing that the canonical SOM can be explored within the PSO paradigm. This highlights an important linkage between the heretofore distinct literatures of SOM and PSO.
Starting Page	3087
Ending Page	3093
File Size	139980
Page Count	7
File Format	PDF
ISBN	9781424418220
DOI	10.1109/CEC.2008.4631215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Classification algorithms Equations Mathematical model Clustering algorithms Training Marketing and sales Support vector machine classification
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