基于神经网络的建筑陶瓷缺陷分析

2011 International Conference on System science, Engineering design and Manufacturing informatization Pub Date : 2011-11-18 DOI:10.1109/ICSSEM.2011.6081197

Yang Li-hua

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引用次数: 0

摘要

本文采用BP神经网络对建筑陶瓷缺陷进行了分析，研究了建筑陶瓷缺陷与材料之间的关系。结果表明，BP神经网络方法用于分析建筑陶瓷缺陷与材料之间的关系是可行的，同时为陶瓷缺陷分析提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of building ceramic defects based on neural network

This paper uses the BP neural network to analyze the defects of building ceramics, and researches the relationship between building ceramic defects and material. And the results show that the BP neural network method is feasible for being used to analyzing the relationship between the Building ceramics defects and material, at the same time, the paper provides a new method for ceramic defects analysis.

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来源期刊

2011 International Conference on System science, Engineering design and Manufacturing informatization

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