Estimation of furnace exit gas temperature (FEGT) using optimized radial basis and back-propagation neural networks-Reference-Cited by-同舟云学术

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Estimation of furnace exit gas temperature (FEGT) using optimized radial basis and back-propagation neural networks

Published:2008-08 Issue:8 Volume:49 Page:1989-1998
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Chandok J.S.,Kar I.N.,Tuli Suneet

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference18 articles.

1. Modern power station practice – boiler & ancillary plant;British Electricity International,1991

2. Boilers and burners;Basu,2000

3. Babcock&Wilcox, R&D division – Full scale demonstration of low-NOx cell burner retrofit. .

4. Babcock & Wilcox, Co. Steam – its generation and use, 37th ed. 1995, p. 9-17–27.

5. Principal of combustion engineering for boilers;Lawn,1987

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