Forecast of Crack Expansion According to Information Neural Network

机译：基于信息神经网络的裂纹扩展预测

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摘要

The existence of fracture in material or work piece is common in engineering. This paper brings forward the ideal and method that use Information Neural Network to forecast the process of crack expanding. After studying the feature and rule, the method realizes estimating and predicting for crack preferably.

机译：材料或工件中存在断裂的现象在工程中很常见。提出了利用信息神经网络预测裂纹扩展过程的理想方法。在研究了特征和规则之后，该方法优选地实现了裂纹的估计和预测。

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来源
《International Conference on Electronic Measurement amp; Instruments(ICEMI'2005) vol.4; 20050816-18; Beijing(CN)》|2005年|P.4.621-4.625|共5页
会议地点 Beijing(CN)
作者
Xu Zhang-sui; Wang Feng; Wang Jian-bin; Yin Zhi-yong;
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作者单位

Mechanical Engineering College, Shijiazhuang 050003 China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电气测量技术及仪器;
关键词
crack expansion; forecast; information neural network;

机译：裂纹扩展预测信息神经网络;

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Forecast of Crack Expansion According to Information Neural Network

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