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" Kramer, MA (1991). Nonlinear Principal Component Analysis Using Autoassociative Neural Networks. "
Exploratory Analysis of Metallurgical Process Data with Neural Networks and ... - 348. lappuse
autors: C. Aldrich - 2002 - 386 lapas
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Pattern Recognition and Neural Networks

Brian D. Ripley, N. L. Hjort - 1996 - 403 lapas
...Sangiovanni-Vincentelli. A. (1989) Efficient parallel learning algorithms for neural networks. In NIPSI. pp. 4(M8. Kramer. MA. (1991) Nonlinear principal component analysis...using autoassociative neural networks. AICHE Journal 37. 233-243. Krishnaiah. PR & Kanal. LN (eds) (1982) Handbook of Statistics 2: Classification. Pattern...
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Unsupervised Learning: Foundations of Neural Computation

Geoffrey E. Hinton, Terrence Joseph Sejnowski, Howard Hughes Medical Institute Computational Neurobiology Laboratory Terrence J Sejnowski - 1999 - 398 lapas
...Alspector (Eds.), Advances in neural information processing systems 6. San Mateo, CA: Morgan Kaufmann. Kramer, MA (1991). Nonlinear principal component analysis...using autoassociative neural networks. AIChE Journal, 37, 233-243. Kung, SY, & Diamantaras, KI (1990). A neural network learning algorithm for adaptive principal...
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Structural Health Monitoring and Intelligent Infrastructure ..., 1. sējums

Zhishen Wu, Masato Abe - 2003 - 1395 lapas
...artificial neural networks. Earthquake Engineering ana" Structural Dynamics 31(2): 217-234. Kramers, MA 1991. Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal 37: 233-243. Masri, SF et al. 1 996. Neural network approach to detection of changes in structural...
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Quality, Reliability and Maintenance 2004

G. J. McNulty - 2004 - 336 lapas
...networks, Int. ICSC/IFAC Symp. On Neural Computation '98, Technical University of Vienna, Austria. 12. Kramer MA, (1991) Nonlinear principal component analysis...using autoassociative neural networks, AIChE Journal, 37, 2, 233-243. 13. Tan and Mavrovouniotis (1995) Reducing data dimensionality through optimising neural...
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Structural Health Monitoring 2006: Proceedings of the Third European Workshop

Alfredo Güemes - 2006 - 1434 lapas
...operational conditions. Journal of Intelligent Materials Systems and Structures, Vol. 13, No. 9,561-574. 10. Kramer, MA 1991. Nonlinear principal component analysis...using autoassociative neural networks. AIChE Journal, Vol. 37, No. 2, 233-243. 11. Ghahramani, Z. and Hinton, GE 1996. The EM-algorithm for mixtures of factor...
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Computational Intelligence in Economics and Finance, 2. sējums

Paul P. Wang, Tzu-Wen Kuo - 2007 - 228 lapas
...(2000) Statistical pattern recognition review. IEEE Trans. Pattern and Machine Intelligence 22:4-34 10. Kramer MA (1991) Nonlinear principal component analysis...using auto-associative neural networks. AIChE Journal 37(2):233-243 11. Kung SY (1993) Digital neural networks. Prentice-Hall 12. Lesch RH, Caille Y, Lowe...
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Advances in Data Mining - Theoretical Aspects and Applications: 7th ...

Petra Perner - 2007 - 356 lapas
...Series Analysis (NeuMATSA): A User Manual, www.ocgy.ubc.ca/ william/Pubs/NN.manual.pdf 9. Kramer, MA: Nonlinear Principal Component Analysis Using Autoassociative Neural Networks. AIChE Journal 37(2), 233-243 (1991) 10. Daszykowski, B., Walczak, 1, Massart, DL: A journey into low-dimensional spaces with autoassociative...
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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
...Competence of the BMBF initiative Entrepreneurial Regions (Project No. ZIK011). References 1. Kramer, MA: Nonlinear principal component analysis using auto-associative neural networks. AIChE Journal, 37(2), 233-243 (1991) 2. DeMers, D., Cottrell, GW: Nonlinear dimensionality reduction. In: Hanson, D., Cowan, J.,...
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Knowledge-Based Intelligent Information and Engineering Systems ..., 2. daļa

Bruno Apolloni - 2007 - 1372 lapas
...Interfering Underlying Factors. Int. J. Patt. Recogn. Artif. Intell. 17(8), 1447-1466 (2003) 7. Kramer, MA: Nonlinear Principal Component Analysis Using Autoassociative 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...
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Engineering Evolutionary Intelligent Systems

Ajith Abraham, Crina Grosan, Witold Pedrycz - 2008 - 444 lapas
...optimisation. In: Proceedings of the IEEE congress on evolutionary computation (CEC 2002), Honolulu, Hawaii 9. Kramer MA (1991) Nonlinear principal component analysis using autoassociative neural networks. AIChE J 37(2):233-243 10. Riget J, Vesterstroem J, Krink T (2002) Proceedings of the Congress on Evolutionary...
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