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人工神经网络用于层状结构参数识别的逆分析

Inverse Analysis Of Parameter Identification for Layer Structures by Using Artificial Neutral Network
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摘要 提出一种识别“屏蔽”型数据的伪反馈双三层人工神经网络.由于反馈对信息进行过滤,使被屏蔽数据的识别精度有较大的提高.将此网络与计算力学相结合,用于层状结构的公路面层和基层厚度的识别,取得了较好的结果.该网络可以看作是两个独立的三层网络的组合,在计算方法和程序处理上并未有新的难点,简便易行. The paper advances a dual three-layered artificial neural network with false feedback combining with computational mechanics to identify shielded data on the road face and base thickness of layer structures. Since the feedback filtering the information,the identifying precision of shielded data is improved greatly and good results are obtained. Meanwhile the implementation for this network that can be considered as the combination of two single layer three-layered neural networks is not more difficult.
出处 《武汉交通科技大学学报》 1996年第1期24-29,共6页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
关键词 神经网络 参数识别 层状结构 公路 路面 artificial neural network, inverse analysis,parameter identification, layer structure,feedback nelwork
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