节点文献
运用神经网络识别复合材料板刚度
COMPOSITE PLATE STIFFNESS IDENTIFICATION USING NEURAL NETWORKS
【摘要】 提出了一种复合材料刚度识别的新方法。通过一个反向传播神经网络 ,利用正交各向异性板的动态特性(固有频率 )识别复合材料板刚度。同时给出了实例用来验证此方法的有效性
【Abstract】 A new methodology is presented for composite plate stiffness identification. The orthotropic plate stiffness coefficients are identified from its dynamic properties (eigenvalues and eigenvectors) through a backward propagation neural network, which is constructed by three layer subnets. An example is used to demonstrate the effectiveness of the method.
- 【文献出处】 复合材料学报 ,ACTA MATERIAE COMPOSITAE SINICA , 编辑部邮箱 ,2000年01期
- 【分类号】TB33
- 【被引频次】39
- 【下载频次】231