NDLI: Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations

Content Provider	IEEE Xplore Digital Library
Author	Jie Cheng Sayeh, M.R. Zargham, M.R. Qiang Cheng
Copyright Year	1990
Abstract	This brief presents a dynamical system approach to vector quantization or clustering based on ordinary differential equations with the potential for real-time implementation. Two examples of different pattern clusters demonstrate that the model can successfully quantize different types of input patterns. Furthermore, we analyze and study the stability of our dynamical system. By discovering the equilibrium points for certain input patterns and analyzing their stability, we have shown the quantizing behavior of the system with respect to its vigilance parameter. The proposed system is applied to two real-world problems, providing comparable results to the best reported findings. This validates the effectiveness of our proposed approach.
Sponsorship	IEEE Computational Intelligence Society
Page Count	6
File Size	390566
Starting Page	2143
Ending Page	2148
File Format	PDF
ISSN	10459227
Volume Number	22
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Eigenvalues and eigenfunctions Stability analysis Real time systems Neural networks Mathematical model Vector quantization vector quantization ordinary differential equation-based clustering real-time clustering
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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

Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture

On a Neural Approximator to ODEs

A note on stability of analog neural networks with time delays

Learning convergence of CMAC technique

'Neural-gas' network for vector quantization and its application to time-series prediction

Neural network adaptive image coding

Absolute exponential stability of a class of continuous-time recurrent neural networks

Real-Time Recurrent Neural State Estimation

A $Q$-Modification Neuroadaptive Control Architecture for Discrete-Time Systems

Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations

Similar Documents

Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture

On a Neural Approximator to ODEs

A note on stability of analog neural networks with time delays

Learning convergence of CMAC technique

'Neural-gas' network for vector quantization and its application to time-series prediction

Neural network adaptive image coding

Absolute exponential stability of a class of continuous-time recurrent neural networks

Real-Time Recurrent Neural State Estimation

A $Q$-Modification Neuroadaptive Control Architecture for Discrete-Time Systems

Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations