人工神经网络在O'-Sialon-BN复合材料设计中的应用
Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition
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摘要: 对神经网络和传统模式识别技术的基本原理和应用特点进行比较.根据已有烧结合成O'-Sialon的实验数据,利用改进后的人工神经网络,构筑了材料相组成及性能的预测模块,并与模式识别技术处理得到的结果进行了比较.在此基础上,探索了合成O'-Sialon-BN复合材料的工艺条件,并通过实验结果进行了验证.Abstract: The Principle and the characteristic of the Neural NetWorks and the Traditional Pattern Recognition are introduced and compared. A forecast module for phases and performances of o'-Sialon-BN composite has been made with acquired experiment data by modified Neural Networks.Then the technical condition for synthesizing o'-Sialon-BN composite has been investigated.
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