提出了一种新颖的、采用周期性对称与不对称刻纹多模光纤组成的传感阵列网络，可用于智能材料与结构的应力、应变等的状态探测或损伤估计。探索采用了人工神经网络技术处理其阵列传感信号，给出了ＢＰ网与Ｋｏｈｏｎｅｎ网的仿真结果 A novel sensor array network consisting of periodically symmetric and asymmetric sculptured multimode fiber is proposed, which can be used for state detection or damage estimation of the stress and strain of smart materials and structures. Explore the use of artificial neural network technology to deal with its array of sensor signals, given the BP network and Kohonen network simulation results