煤层底板抗压入特性分析的人工神经网络方法

ARTIFICIAL NEURAL NETWORK APPROACH TO ANALYSING COMPRESSIVE PROPERTIES OF COAL SEAM FLOOR

应用神经网络系统理论，提出了煤层底板抗压入特性分析的新方法，从工程实例中学习分析知识并进行推广，对新的煤层底板抗压入能力进行合理的估价。实验结果表明，该方法科学、可靠，具有很强的自学习、非线性动态处理的能力。

Based on the application of artificial neural network theory,this paper puts foward a new approach to the compressive properities of coal seam floor,and this approachcan appraise the compressive properties of coal seam floor reasonably .The experiment resultssshow that the method proposed in this paper is scientific and has superior abli-ties of self-learning and nonlinear dynamic processing.