期刊文献+

人工神经网络在陶瓷材料设计中的应用 被引量:1

THE APPLICATION OF ARTIFICAL NEURAL NETWORK TO DESIGNING CERAMIC MATERIALS
下载PDF
导出
摘要 简单介绍了人工神经网络的特点和模式 ,综述了人工神经网络在陶瓷材料力学性能识别与预测、工艺优化等方面的研究概况 ,指出了存在的问题。 The characteristics and models of the Artificial Neural Network(ANN) are primarily introduced in the paper.The application of the Artificial Neural Network to the identification and prediction of the mechanical properties of ceramic materials as well as the optimization of the fabrication technology are also surveyed.The problems are pointed out in the application of ANN.
机构地区 山东大学
出处 《陶瓷学报》 CAS 2002年第4期238-240,共3页 Journal of Ceramics
基金 山东省中青年科学家科研奖励基金 (编号 :9812 ) 山东省教育厅 (编号 :5 98A5 6 ) 济南市青年科技明星计划 (编号 :2 0 110 )资助项目
关键词 人工神经网络 陶瓷材料 设计 应用 模式 特点 ceramic materials,Aritificial Neural Network,material design
  • 相关文献

参考文献5

二级参考文献15

共引文献78

同被引文献22

  • 1王秀梅,王国栋,刘相华.模糊控制在带钢轧制中的应用[J].钢铁研究,1999,27(3):42-45. 被引量:6
  • 2许文达.模糊逻辑控制(FLC)──一种有前景的智能控制方法[J].北京印刷学院学报,1994,2(1):57-64. 被引量:2
  • 3池梦骊.模糊控制技术及其在日本焊接领域中的应用[J].焊接技术,1994,23(1):46-48. 被引量:6
  • 4Guardani R, Nascimento C A O. Use of neural networks in the analysis of particle size distribution by laser diffraction: tests with different particle systems. Powder Technology, 2002,126 : 42-- 50.
  • 5Nascimento C A O, Guardani R, Giulietti M. Use of neural networks in the analysis of particle size distribution by laser diffraction.Powder Technol, 1997,80 : 89 -- 94.
  • 6Zhang Y F, Lu L, Yap S M. Prediction of the amount of PCA for mechanical milling. Journal of Materials Processing Technology,1999,89 - 90:260-- 265.
  • 7Cherian R P, Smith L N. A neural network approach for selection of powder metallurgy materials and process parameters. Artificial Intelligence in Engineering,2000,14:39-- 44.
  • 8Smith L N, German R M. A neural network approach for solution of the inverse problem for selection of powder metallurgy materials.Journal of Materials Processing Technology,2002,120:419--425.
  • 9Yarlagadda P K D V. Prediction of processing parameters for injection moulding by using a hybrid neural network. J Eng Manuf,2001, PartB 215 : 465 -- 470.
  • 10Yarlagadda P K D V. Prediction of die casting process parameters by using artificial neural network model for zinc alloys. Int J Prod Res, 1999,38:119-- 139.

引证文献1

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部