摘要
应用分层模糊系统对装车配煤生产过程建立数学模型,有效地解决了模糊规则"维数灾"的问题,并选用常实数后件模糊神经网络模型作为分层模糊模型的基本模糊单元。通过仿真说明了该配煤模型在提高数据处理速度和建模精度方面有很大的优越性,对于指导生产实践和进一步研究,具有一定的现实意义。
Hierarchical fuzzy systems establishes production model which solve fuzzy rules "dimension disaster" problem process of loading coal blending mathematical effectively, and used a modeling method based on real constant value consequent fuzzy model was given, as fuzzy model of basic fuzzy unit. The simulation shows that blending model to improve data processing speed and modeling accuracy has great advantages, production practices and for guiding further study, has some practical significance.
出处
《煤矿机械》
北大核心
2012年第4期54-56,共3页
Coal Mine Machinery
关键词
分层模糊神经网络
装车配煤
模糊模型
hierachieal fuzzy neural network
loading coal blending
fuzzy model