Research on Prediction of the Stability of Partially Stabilized Zirconia Prepared by Microwave Heating Using Levenberg Marquardt-Back Propagation Neural Network

[1]  R. D. Blake,et al.  Microwave sintering of multiple alumina and composite components , 1991 .

[2]  E. Iguchi,et al.  Oxygen vacancies contributing to intragranular electrical conduction of yttria-stabilized zirconia (YSZ) ceramics , 2005 .

[3]  Jixin Qian,et al.  Predicting coal ash fusion temperature based on its chemical composition using ACO-BP neural network , 2007 .

[4]  A. Pawłowski,et al.  Microstructure evolution and electrical properties of yttria and magnesia stabilized zirconia , 2002 .

[5]  Guo Chen,et al.  Research on Predicting the Stability of Partially Stabilized Zirconia Based on SVM , 2010 .

[6]  M. H. Bocanegra-Bernal,et al.  Phase transitions in zirconium dioxide and related materials for high performance engineering ceramics , 2002 .

[7]  T. Sakuma Phase Transformation and Microstructure of Partially-Stabilized Zirconia , 1988 .

[8]  Dong Guo,et al.  Modeling and analysis of the electrical properties of PZT through neural networks , 2003 .

[9]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[10]  H. Troy Nagle,et al.  Performance of the Levenberg–Marquardt neural network training method in electronic nose applications , 2005 .

[11]  J. Zhong,et al.  Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel , 2008 .

[12]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[13]  Yu Jingyuan,et al.  BP neural network prediction of the mechanical properties of porous NiTi shape memory alloy prepared by thermal explosion reaction , 2006 .