Identification of damage in rectangular plates based on neural network technique with sub-regions
矩形板结构损伤的分区域神经网络识别方法

This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm. The numerical results of simulations for the cantilever plate with some damages show that this approach is better than that from the conventional method with single network. Since this method realizes the synchronous output of position and intensity of damages in the structure, this approach does not need many sub-networks appeared in a conventional hierarchical identification method.