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提出采煤工作面顶板分析的人工神经网络方法，并选取一组标样作为研究对象，识别成功率达１００％。结果表明，该方法性能良好，可望成为顶板分类的有效的辅助手段。
The method of artificial neural network for roof analysis of coal mining face is proposed and a set of standard samples are selected as the research object to identify the success rate of 100%. The results show that the method is of good performance and is expected to be an effective aid to roof classification.