Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions - researchr publication authors

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K. Li, S. Thompson, Peter A. Wieringa, J. Peng, G. R. Duan. Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions. Cognition, Technology & Work, 5(2):107-126, 2003. [doi]

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