NDLI: Evolutionary Optimization of Neural Networks for Fire Recognition

Content Provider	IEEE Xplore Digital Library
Author	Kandil, M. Shahin, S. Atiya, A. Fayek, M.
Copyright Year	2006
Description	Author affiliation: Authority of Atomic Energy (Kandil, M.)
Abstract	In this paper, the new hybrid algorithm is used as real time fire recognition algorithm in visual image sequences. For the purposes of real time fire pattern recognition tasks neural networks (NNs) are typically trained with respect of error function minimization by propagating a linear sum of errors. Recent studies in the fire vision recognition have confronted the problem of the inconstant and different shapes of fire which required improving generalization of the NNs. Experimental evidence is presented in this study demonstrating the general application potential of the framework by generating populations of ENN for recognition with a large number of fire shapes in different images, to show that our hybrid algorithm is capable of detecting real time fire vision by improving the generalization of NNs
Starting Page	431
Ending Page	435
File Size	5592582
Page Count	5
File Format	PDF
ISBN	1424402719
DOI	10.1109/ICCES.2006.320486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-05
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Shape Radiation detectors Stochastic processes Evolutionary computation Image sequences Pattern recognition fire recognition canny edge detection evolutionary computation Neural networks Fires Power engineering and energy
Content Type	Text
Resource Type	Article

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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
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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
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