NDLI: An improved algorithm for Kohonen's self-organizing feature maps

Content Provider	IEEE Xplore Digital Library
Author	Chau-Yun Hsu Hwai-En Wu
Copyright Year	1992
Description	Author affiliation: Dept. of Electr. Eng., Tatung Inst. of Technol., Taipei, Taiwan (Chau-Yun Hsu; Hwai-En Wu)
Abstract	A modified algorithm is presented for the learning by self-organizing topology-preserving maps to improve the piecewise-correct problem that arose frequently with the original self-organizing maps. The problem is generally caused by two dominant factors existing in the learning procedure of the original algorithm. One is the initial-sequence-order problem. The present algorithm efficiently reduces the influence of these two factors and successfully guides the network to form a topologically correct map. The proposed algorithm adopts a dynamic network that allows cells to be inserted and deleted, and it adds the Coulomb effect to the learning factor. Simulation results indicate that the modified algorithm performs well in learning the mapping of a two-dimensional input vector distribution using a one-dimensional network.<>
Starting Page	328
Ending Page	331
File Size	370931
Page Count	4
File Format	PDF
ISBN	0780305930
DOI	10.1109/ISCAS.1992.229947
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-10
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Self organizing feature maps Signal mapping Brain modeling Signal processing Artificial neural networks Computer architecture Pattern recognition Speech recognition Robotics and automation Automatic control
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

Implementation of Kohonen's self-organising maps on MANTRA I

An extended self-organizing map with gated neurons

The self-organizing map

Design and evaluation of a reconfigurable digital architecture for self-organizing maps

Digital Hardware Architectures of Kohonen's Self Organizing Feature Maps with Exponential Neighboring Function

Parallel self-organizing maps for actual applications

Variants of self-organizing maps

Pattern Recognition of EEG Signal during Motor Imagery by Using SOM

Phoneme recognition using time-dependent versions of self-organizing maps

An improved algorithm for Kohonen's self-organizing feature maps

Similar Documents

Implementation of Kohonen's self-organising maps on MANTRA I

An extended self-organizing map with gated neurons

The self-organizing map

Design and evaluation of a reconfigurable digital architecture for self-organizing maps

Digital Hardware Architectures of Kohonen's Self Organizing Feature Maps with Exponential Neighboring Function

Parallel self-organizing maps for actual applications

Variants of self-organizing maps

Pattern Recognition of EEG Signal during Motor Imagery by Using SOM

Phoneme recognition using time-dependent versions of self-organizing maps

An improved algorithm for Kohonen's self-organizing feature maps