NDLI: Discrete-time cellular neural network construction through evolution programs

Content Provider	IEEE Xplore Digital Library
Author	Destri, G.
Copyright Year	1996
Description	Author affiliation: Dipartimento di Ingegneria dell'Inf., Parma Univ., Italy (Destri, G.)
Abstract	The problem of the definition of the coefficients of a cellular neural network (CNN) system has been solved in many different ways. The first possibility is to choose them "by hand", "mathematically" defining the function to be performed by the network. In some special case the applicability of "traditional" techniques such as back-propagation has been successfully demonstrated A more general approach to CNN training has been obtained using genetic algorithms. In this paper, a new kind of cellular neural network learning algorithm is presented, based on an evolution program, that is a "generalisation" of genetic algorithms. The evaluation of the fitness is run on a massively parallel system, the Connection Machine CM-2. This approach has been applied with promising results to the automatic design of CNN-based filter for image segmentation. A detailed description of the algorithm and an analysis of its computational cost are presented.
Starting Page	473
Ending Page	478
File Size	545984
Page Count	6
File Format	PDF
ISBN	078033261X
DOI	10.1109/CNNA.1996.566620
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-24
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cellular neural networks Genetic algorithms Evolution (biology) Clustering algorithms Biological cells Electronic mail Filters Image segmentation Algorithm design and analysis Computational efficiency
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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