NDLI: Efficient searching for robust CNN templates with combined analytic and evolutionary methods

Content Provider	IEEE Xplore Digital Library
Author	Sung-Nien Yu Wei-Cheng Chen Chien-Nan Lin
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Nat. Chung Cheng Univ., Taiwan (Sung-Nien Yu)
Abstract	In this paper, we propose a method that combines the analytic method and a genetic algorithm (GA) for the design of robust templates for cellular neural networks (CNNs). The relationship of the template coefficients derived from the analytic method can serve as possible bounds for the solution space. A genetic algorithm then follows to search for robust templates in the reduced solution space. Due to the bound set by the analytic method, the number of the useless searches in the genetic algorithm can be dramatically reduced from more than 90% to about 30%. Two popular image processing methods: hole-filling and shadowing processes are presented to demonstrate the capability of the proposed method. The robust templates can be readily found in only a few, typically 2 to 5, generations.
Sponsorship	Nat. Sci. Council, Taiwan Minist. of Educ., Taiwan IEEE Circuits and Syst. Soc. IEEE, Taipei Chapter IEEE Circuits and Syst. Soc., Taipei and Tainan Chapters IEEE Computational Intelligence Soc., Taipei Chapter Nat. Chiao Tung Univ., Taiwan The Pazmany Peter Catholic Univ., Budapest
Starting Page	162
Ending Page	165
File Size	682475
Page Count	4
File Format	PDF
ISBN	0780391853
DOI	10.1109/CNNA.2005.1543186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-28
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Cellular neural networks Algorithm design and analysis Genetic algorithms Image processing Boundary conditions Design methodology Shadow mapping Signal processing Equations
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

Robust Designs for Shadow Projection CNN

Upper bounds for robustness of CNN templates and a design approach for robust templates

Template design methods for binary cellular neural networks

Design for Robustness Black-White Color Interconversion CNN

Exact design of reciprocal cellular neural networks

CNN Template Design Method Based on GQA

An exact and direct analytical method for the design of optimally robust CNN templates

Genetic algorithm for CNN template learning

Unifying results in CNN theory using delta operator

Efficient searching for robust CNN templates with combined analytic and evolutionary methods

Similar Documents

Robust Designs for Shadow Projection CNN

Upper bounds for robustness of CNN templates and a design approach for robust templates

Template design methods for binary cellular neural networks

Design for Robustness Black-White Color Interconversion CNN

Exact design of reciprocal cellular neural networks

CNN Template Design Method Based on GQA

An exact and direct analytical method for the design of optimally robust CNN templates

Genetic algorithm for CNN template learning

Unifying results in CNN theory using delta operator

Efficient searching for robust CNN templates with combined analytic and evolutionary methods