Adaptive Neutro-Fuzzy Inference System for Prediction of Blasting Vibration Velocity

摘要：

Accurate prediction of the blasting vibration is the premise and foundation of vibration control. However, the vibration influencing factors are complex and are stochastic and fuzzy, which have brought difficulties to the vibration predication. The conventional methods may not provide accurate results. Based on measured data from some engineering practices, this paper presents an adaptive netro fuzzy inference system (ANFIS) to build a prediction model for vibration control. Comparing the results calculated in empirical formula with the results simulated from ANFIS prediction model, the later results are obviously improved; it can be well applied to predict the vibration velocity.

关键词： blasting vibration Adaptive neutro-fuzzy inference system (ANFIS) prediction

作者: DING Zude PENG Limin AI Xiaodong

作者单位: Central South University, Changsha, 410075, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 421-424

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）