神经网络在麦秆秆茎机械强度确定中的应用

APPLICATION OF NEURAL NETWORK IN THE DETERMINATION OF THE MECHANICAL STRENGTH OF WHEAT STRAW

摘要: 为了避免重复性力学实验来确定麦秆茎秆机械强度, 将神经网络技术用于麦秆茎秆机械强度的计算, 建立神经网络多几何参数确定麦秆茎秆机械强度的预测模型. 详细介绍麦秆机械强度神经网络预测模型的操作过程, 并根据预测误差结果分析, 证实了该方法的有效性和可行性.

Abstract: To avoid the repeated mechanical experiments to determine the mechanical strength of wheat straw stalk, the neural network technology is adopted to build the prediction model for the mechanical strength of wheat straw stalk using neural network multiple geometric parameters. The prediction results show that the method is effective.