摘要
借助于专家系统实现对高炉炉况的描述和控制，是当今高炉实现计算机控制技术的发展方向。神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。专家系统与神经网络有互补的作用。
It is the developing direction of present blast furnace control to realize description and control of blast furnace via expert system。 Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution。 Expert system and neural network are mutually supplemented.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
1995年第5期80-83,共4页
Journal of Iron and Steel Research
关键词
高炉
专家系统
神经网络
模式识别
炼铁
blast furnace expert systern neural network pattern recognition
