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Study on boiler's operation performance and optimization of oxygen content in flue gas
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Cai J., Ma X., and Liao Y. Study on boiler's operation performance and optimization of oxygen content in flue gas. Thermal Power Generation 35 7 (2006) 28-31 (in Chinese)
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Thermal Power Generation
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Optimization of pulverized coal fineness on coal-fired power unit
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Cai J., and Ma X. Optimization of pulverized coal fineness on coal-fired power unit. Boiler Technology 37 5 (2006) 39-43 (in Chinese)
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Boiler Technology
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Operation optimization of steam power unit based on Genetic Algorithm
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Cai J., and Ma X. Operation optimization of steam power unit based on Genetic Algorithm. Journal of South China University of Technology 34 4 (2006) 101-105 (in Chinese)
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Journal of South China University of Technology
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Cai, J.1
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Chaotic ant swarm optimization to economic dispatch
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Cai J., Ma X., Li L., Yang Y., Peng P., and Wang X. Chaotic ant swarm optimization to economic dispatch. Electric Power System Research 77 10 (2007) 1373-1380
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Electric Power System Research
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Chaotic particle swarm optimization for economic dispatch considering the generator constraints
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Cai J., Ma X., Li L., and Peng P. Chaotic particle swarm optimization for economic dispatch considering the generator constraints. Energy Conversion and Management 48 2 (2007) 645-653
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On-line monitoring of power-plant performance, using exergetic cost techniques
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Design of an optical instrument to measure the carbon content of fly ash
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Ouazzane A.K., Castagner J.L., Jones A.R., and Ellahi S. Design of an optical instrument to measure the carbon content of fly ash. Fuel 81 15 (2002) 1907-1911
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Optimizing pulverized coal combustion performance based on ANN and GA
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Zhou H., Qian X., Cen K., and Fan J. Optimizing pulverized coal combustion performance based on ANN and GA. Fuel Processing Technology 85 2-3 (2003) 113-124
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Performance prediction for non-adiabatic capillary tube suction line heat exchanger: an artificial neural network approach
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Islamoglu Y., Kurt A., and Parmaksizoglu C. Performance prediction for non-adiabatic capillary tube suction line heat exchanger: an artificial neural network approach. Energy Conversation Management 46 2 (2005) 223-232
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Prediction of enthalpy of alkanes by the use of radial basis function neural networks
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Yao X., Zhang X., Zhang R., Liu M., Hu Z., and Fan B. Prediction of enthalpy of alkanes by the use of radial basis function neural networks. Computers & Chemistry 25 5 (2001) 475-482
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Calculation for the thermodynamic properties of an alternative refrigerant (R508b) using artificial neural network
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Sözen A., Özalp M., and Arcaklioǧlu E. Calculation for the thermodynamic properties of an alternative refrigerant (R508b) using artificial neural network. Applied Thermal Engineering 27 2-3 (2007) 551-559
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Multi-objective optimization and analysis model of sintering process based on BP neural network
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Zhang J., Xie A., and Shen F. Multi-objective optimization and analysis model of sintering process based on BP neural network. Journal of Iron and Steel Research International 14 2 (2007) 1-5
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An innovative air-conditioning load forecasting model based on RBF neural network and combined residual error correction
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Yao Y., Lian Z., Hou Z., and Liu W. An innovative air-conditioning load forecasting model based on RBF neural network and combined residual error correction. International Journal of Refrigeration 29 4 (2006) 528-538
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Applying support vector machines to predict building energy consumption in tropical region
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Dong B., Cao C., and Lee S.E. Applying support vector machines to predict building energy consumption in tropical region. Energy and Buildings 37 5 (2005) 545-553
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Online forecasting of steam turbine exhaust enthalpy based on support vector machine method
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Cai J., and Ma X. Online forecasting of steam turbine exhaust enthalpy based on support vector machine method. Automation of Electric Power System 30 8 (2006) 77-82 (in Chinese)
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Forecasting unburned carbon content in the fly ash from coal-fired utility boilers based on SVM
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Cai J., and Ma X. Forecasting unburned carbon content in the fly ash from coal-fired utility boilers based on SVM. Journal of Combustion Science and Technology 12 4 (2006) 312-317 (in Chinese)
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