Robust learning in a partial least-squares neural network

[1]  I Kostanic,et al.  Multivariate determination of glucose concentrations from optimally filtered frequency-warped NIR spectra of human blood serum. , 1996, Physiological measurement.

[2]  Herman Wold,et al.  Soft modelling: The Basic Design and Some Extensions , 1982 .

[3]  Lei Xu,et al.  Self-Organizing Rules for Robust Principal Component Analysis , 1992, NIPS.

[4]  S.Y. Kung,et al.  Adaptive Principal component EXtraction (APEX) and applications , 1994, IEEE Trans. Signal Process..

[5]  Juha Karhunen,et al.  Generalizations of principal component analysis, optimization problems, and neural networks , 1995, Neural Networks.

[6]  Ivica Kostanic,et al.  Partial least-squares: Theoretical issues and engineering applications in signal processing , 1996 .

[7]  J. Karhunen,et al.  Nonlinear generalizations of principal component learning algorithms , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[8]  Erkki Oja,et al.  Nonlinear PCA: Algorithms and Applications , 1993 .

[9]  Andrzej Cichocki,et al.  Robust estimation of principal components by using neural network learning algorithms , 1993 .

[10]  Manfred Morari,et al.  PLS/neural networks , 1992 .

[11]  Edward C. Malthouse,et al.  Nonlinear partial least squares , 1997 .

[12]  E. V. Thomas,et al.  Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .

[13]  Thomas J. McAvoy,et al.  Nonlinear PLS Modeling Using Neural Networks , 1992 .

[14]  E. Oja Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.

[15]  Juha Karhunen,et al.  Representation and separation of signals using nonlinear PCA type learning , 1994, Neural Networks.

[16]  Andrzej Cichocki,et al.  Neural networks for optimization and signal processing , 1993 .

[17]  Lei Xu,et al.  Robust PCA learning rules based on statistical physics approach , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[18]  Shang-Liang Chen,et al.  Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.

[19]  Juha Karhunen,et al.  Learning of robust principal component subspace , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[20]  Terence D. Sanger,et al.  Optimal unsupervised learning in a single-layer linear feedforward neural network , 1989, Neural Networks.

[21]  E. Oja,et al.  On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix , 1985 .