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

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]

Abstract

Abstract is missing.