摘要
本文介绍了基于模糊神经网络控制实现链条炉的优化燃烧,同时利用改进的BP算法,对神经网络的各参数进行离线训练。利用人工神经网络的记忆特性,对链条炉的优化燃烧进行在线控制。
In this paper, based on fuzzy neural network control chain furnace to achieve the optimized combustion. At the same time take advantage of improved BP algorithm for the neural network parame- ters of the off-line training. Use artificial neural network memory characteristics for on the chain furnace of the optimized combustion for on-line controlling.
出处
《仪器仪表用户》
2008年第5期65-67,共3页
Instrumentation