Matlab利用BP神经网络和遗传算法对煤在锅炉内的燃烧率及一（儿）氧化氮的排放量进行优化，以获得最优的燃烧率和最少的氧化氮排放-Matlab using BP neural networks and genetic algorithms on coal in the boilers and the combustion rate of one (child) oxide emissions are optimized to obtain optimal combustion rate and

C Five-step mechanism submitted to the 26th Symposium C version from March 1996 C Citation: C J. Hewson and M. Bollig, C Reduced Mechanisms for NOx Emissions from Hydrocarbon Diffusion Flames, C Twenty-Sisxth Symposium (International)