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" Kramer, MA Nonlinear principal component analysis using autoassociative neural networks. "
Advances in Data Mining - Theoretical Aspects and Applications: 7th ... - 105. lappuse
laboja - 2007 - 356 lapas
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Exploratory Analysis of Metallurgical Process Data with Neural Networks and ...

C. Aldrich - 2002 - 386 lapas
...multivariate projection methods. Chemometrics and Intelligent Laboratory Systems, 28, 3-21. Kramer, MA 1991. Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37(2), 233-243. Kramer, MA 1992. Autoassociative neural networks. Computers and Chemical Engineering, 16(4), 313-328....
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Knowledge-Based Intelligent Information and Engineering Systems: 11th ...

Bruno Apolloni - 2007 - 1372 lapas
...of Interfering Underlying Factors. Int. J. Patt. Recogn. Artif. Intell. 17(8), 1447-1466 (2003) 7. Kramer, MA: Nonlinear Principal Component Analysis...Neural Networks. AIChE Journal 37(2), 233-243 (1991) 8. Lippmann, R., Haines, JW, Fried, DJ, Korba, J., Das, K.: Analysis and Results of the 1999 DARPA...
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Intelligent Data Engineering and Automated Learning - IDEAL 2007: 8th ...

Hujun Yin - 2007 - 1192 lapas
...(1998) 7. Kohonen, T.: The Self-Organizing Map. Proceedings of the IEEE 78(9), 1464-1480 (1990) 8. Kramer, MA: Nonlinear Principal Component Analysis...Autoassociative Neural Networks. AIChE Journal 37(2) (1991) 9. Cisco Secure Consulting: Vulnerability Statistics Report (2000) 10. Corchado, E., Herrero,...
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Advances in Neural Networks - ISNN 2007: 4th International Symposium on ...

Derong Liu, Shumin Fei, Zeng-Guang Hou, Huaguang Zhang, Changyin Sun - 2007 - 1210 lapas
...System Decomposition and Dynamic PLS. Industrial & Engineering Chemistry Research 43 (2004) 8037-8048 6. Kramer, MA: Non-linear Principal Component Analysis...using Autoassociative Neural Networks. AIChE Journal 37 (1991) 233- 243 7. Tan, S., Mavrovouniotis, ML: Reducing Data Dimensionality through Optimizing...
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Principal Manifolds for Data Visualization and Dimension Reduction

Alexander N. Gorban, Balázs Kégl, Donald C. Wunsch, Andrei Zinovyev - 2007 - 340 lapas
...M., and Williams, CK L: The generative topographic mapping. Neural Computation, 10, 215-235 (1998) 7. Kramer, MA: Nonlinear principal component analysis...using autoassociative neural networks. AIChE Journal, 37, 233-243 (1991) 8. Hastie, T. and Stuetzle, W.: Principal curves. Journal of the American Statistical...
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