摘要
针对煤层顶板冒落原始数据样本较少的特点,采用神经网络理论和粗糙集理论,利用ULtraEdit和weka软件,建立了基于神经网络的煤层顶板冒落预测模型,实现了对小样本条件下煤层顶板冒落的预测。
For seam roof caving small sample of the original data ,uses neural network theory and rough set theory, uses ULtraEdit and weka software, based on the establishment of a coal seam roof caving neural network forecasting model, the realization of small sample seam roof falling of prediction.
出处
《煤炭技术》
CAS
北大核心
2016年第7期83-85,共3页
Coal Technology