1. Beardahy, C.C., Baxter, M.J., 1995. MATLAB routines for kernel density estimation and the graphical representation of archaeological data. Technical Report.
2. Neural Networks for Pattern Recognition;Bishop,1995
3. Dynamic process fault monitoring based on neural network and PCA;Chen;Journal of Process Control,2002
4. Choi, S.W., Lee, C., Lee, J.-M., Park, J.H., Lee, I.-B., 2004. Fault detection and identification of nonlinear processes based on kernel PCA. Chemometrics and Intelligent Laboratory Systems, in press.
5. Copp, J.B., 2002. The cost simulation benchmark. Technical Report, http://www.ensic.u-nancy.fr/COSTWWTP.