人工神經網絡在O'-Sialon-BN復合材料設計中的應用

Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition

摘要: 對神經網絡和傳統模式識別技術的基本原理和應用特點進行比較.根據已有燒結合成O'-Sialon的實驗數據,利用改進后的人工神經網絡,構筑了材料相組成及性能的預測模塊,并與模式識別技術處理得到的結果進行了比較.在此基礎上,探索了合成O'-Sialon-BN復合材料的工藝條件,并通過實驗結果進行了驗證.

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.