Computational intelligent strategies to predict energy conservation benefits in excess air controlled gas-fired systems

Applied Thermal Engineering(2016)

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摘要
•Intelligent models are applied to predict combustion efficiency of natural gas in gas-fired systems.•The developed models were examined using experimental data, and a reasonable match was attained.•The models have been tested and validated using around 100 data points.•Hybrid algorithm is used to determine parameters of membership function in ANFIS approach.
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关键词
Conservation benefits,Combustion efficiency,Artificial neural network,Adaptive neuro fuzzy inference system,Support vector machine
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