人工神经网络具有非线性的自适应信息处理能力,已广泛应用于化工、通信、控制及优化等领域.在简单介绍人工神经网络方法的基础上,重点综述了该方法在陶瓷工业的原料分类、配方优化、缺陷分析、性能预测等方面的应用情况,指出在应用过程中可能存在的问题以及未来的发展趋势.
参考文献
[1] | 李竟先,鄢程,吴基球.材料科学与工程中应用ANN的前景[J].中国陶瓷工业,2003(04):36-38,43. |
[2] | Hany El Kadi .Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks-A review[J].Composite structures,2006(1):1-23. |
[3] | Salam M A;Al-Alawi S M;Maqrashi A A .An artificial neural networks approach to model and predict the relationship between the grounding resistance and length of buried electrode in the soil[J].Journal of Electrostatics,2006,64(05):338. |
[4] | Gisbert Schneider... .Artificial neural networks for computer-based molecular design[J].Progress in Biophysics and Molecular Biology: An International Review Journal,1998(3):175-222. |
[5] | 李冰,郭祀远,李琳,邹辉.ANN在发酵过程中的应用[J].食品与发酵工业,2003(12):91-96. |
[6] | Agatonovic Kustrin-S;Beresford R .Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.[J].Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis,2000(5):717-727. |
[7] | Altinkok N;Koker R .Neural network approach to prediction of bending strength and hardening behavior of particulate reinforced (Al-Si-Mg)-aluminium matrix composites[J].Materials & Design,2004,25(07):595. |
[8] | 陈晓明,李景明,李艳霞,倪元颖.人工神经网络在饮料工业中的应用研究进展[J].饮料工业,2005(01):8-12,22. |
[9] | 杨琴,谢淑云.BP神经网络在洞庭湖氨氮浓度预测中的应用[J].水资源与水工程学报,2006(01):65-70. |
[10] | 王凯,李冬青,张忠典,张益民.人工神经网络及其在焊接中的应用与展望[J].焊接,2005(06):5-9. |
[11] | 李玉平,刘付胜聪,胡鹏飞.陶瓷原料分类的人工神经网络模型[J].硅酸盐通报,2003(06):47-50. |
[12] | 刘付胜聪,李玉平.利用人工神经网络判别陶瓷原料种类[J].湖南大学学报(自然科学版),2002(03):40-44. |
[13] | 郭景康;陈念贻 .古陶瓷分类研究中的模式识别--人工神经网络方法[J].硅酸盐学报,1997,25(05):614. |
[14] | Cai K;Xia JT;Li LT;Gui ZL .Analysis of the electrical properties of PZT by a BP artificial neural network[J].Computational Materials Science,2005(2):166-172. |
[15] | Guo D;Wang Y L;Xia J T et al.Investigation of BaTiO3formulation:an artificial neural network (ANN) method[J].ECRS,2002,22(11):1867. |
[16] | 阎加强;培新;伍卫琼 等.神经网络-遗传算法优化反应烧结ZrO2-SiC材料制备工艺[J].无机材料学报,1998,13(06):937. |
[17] | 叶孟蜍,金伟.基于BP神经网络的陶瓷产品质量检验专家系统[J].大连轻工业学院学报,2002(04):276-278. |
[18] | 周毓菁;金有道;周迪郧.建筑卫生陶瓷缺陷分析神经网络系统[J].陶瓷,1998(02):14. |
[19] | Huang C Z;Zhang L;He L et al.A study on the prediction of the mechanical properties of a ceramic tool based on an artificial neural network[J].Journal of Materials Processing Technology,2002,129:399. |
[20] | Necat Altinkok;Rasit Koker .Mixture and pore volume fraction estimation in Al2O3/SiC ceramic cake using artificial neural networks[J].Materials & Design,2005,26(04):305. |
[21] | 张长强,张勤河,张卫云,刘倩,杨金勇.人工神经网络在多相工程陶瓷材料设计中的应用[J].机械工程材料,2005(02):4-5,29. |
[22] | Ezugwu E O et al.Tool-wear prediction using artificial neural networks[J].Journal of Materials Processing Technology,1995,49:255. |
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