Automation of Manufacturing Systems Control Based on Neuro-Fuzzy Modeling

摘要：

The method, newo-fuzzy models and algorithms for solving tasks of planning, prediction and decision support in control of manufacturing system in uncertain market conditions have been developed. Intelligent production control on the base of simulation allows to solve in automated regime tasks of situation identification and classification, and tasks of decision choice with use of formalized procedures taking into account uncertainty in situation analysis and excluding choice subjectivity in decision making.

作者: Barry Ilyasov Larisa Ismagilova Roza Valeeva Irina Sergeeva

作者单位: Ufa State Aviation Technical University, Department of Technical Cybernetics 12, K.Marx Street, Ufa 450000, Russia

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 779-783

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）