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.
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.
出处
《力学与实践》
CSCD
北大核心
2012年第2期58-60,63,共4页
Mechanics in Engineering
关键词
神经网络
多几何参数
麦秆茎秆
机械强度
neural network
multiple geometric parameters
wheat straw stalk
mechanical strength
