Application of gray correlation analysis and artificial neural network in rock mass blasting

• 来源期刊: 煤炭学报（英文版）
• 年，卷（期）: 2005,（1）
• 页码范围: 44-47
• 页数: 4页
• 语种: 英文

摘要

Studied forecasting and controlling the blasting fragmentation by using artificial neural network for multi-ingredients. At the same time, according to the characteristic of multi-parameters input to network model, the gray correlation theory was employed to find out key factors, which can not only save time of computation and parameters input, but improve the stability of the model.