C. Abraham, P. Cornillon, E. Matzner-lober, and N. Molinari, Unsupervised Curve Clustering using B-Splines, Scandinavian Journal of Statistics, vol.78, issue.3, pp.581-595, 2003.
DOI : 10.1111/1467-9469.00350

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.2845

P. Besse, H. Cardot, and F. Ferraty, Simultaneous non-parametric regressions of unbalanced longitudinal data, Computational Statistics & Data Analysis, vol.24, issue.3, pp.255-270, 1997.
DOI : 10.1016/S0167-9473(96)00067-9

P. Besse and J. Ramsay, Principal components analysis of sampled functions, Psychometrika, vol.78, issue.A, pp.285-311, 1986.
DOI : 10.1007/BF02293986

C. Borggaard and H. H. Thodberg, Optimal minimal neural interpretation of spectra, Analytical Chemistry, vol.64, issue.5, pp.545-551, 1992.
DOI : 10.1021/ac00029a018

S. Chen, F. N. Cowan, and P. M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Transactions on Neural Networks, vol.2, issue.2, pp.302-309, 1991.
DOI : 10.1109/72.80341

F. Brieuc-conan-guez and . Rossi, Multilayer perceptrons for functional data analysis: a projection based approach, Artificial Neural Networks ? ICANN 2002, pp.667-672, 2002.

J. Dauxois and A. Pousse, Les analyses factorielles en calcul des probabilités et en statistiques : essai d'´ etude synthétique, Thèse d'´ etat, 1976.

J. Dauxois, A. Pousse, and Y. Romain, Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference, Journal of Multivariate Analysis, vol.12, issue.1, pp.136-154, 1982.
DOI : 10.1016/0047-259X(82)90088-4

. Carl-de-boor, Fundamental Developments of Computer-Aided Geometric Modeling, chapter B-spline basics, pp.27-49, 1993.

N. Delannay, F. Rossi, B. Conan-guez, and M. Verleysen, Functional radial basis function network, Proceedings of ESANN 2004, pp.313-318, 2004.

T. Evgeniou, M. Pontil, and T. Poggio, Regularization networks and support vector machines, Advances in Computational Mathematics, vol.13, issue.1, pp.1-50, 2000.
DOI : 10.1023/A:1018946025316

F. Ferraty and P. Vieu, The functional nonparametric model and application to spectrometric data, Computational Statistics, vol.17, issue.4, 2002.

F. Ferraty and P. Vieu, Curves discrimination: a nonparametric functional approach, Computational Statistics & Data Analysis, vol.44, issue.1-2, pp.161-173, 2003.
DOI : 10.1016/S0167-9473(03)00032-X

L. Ferré and A. Yao, Functional sliced inverse regression analysis, Statistics, vol.3, issue.6, pp.475-488, 2003.
DOI : 10.2307/2291210

F. Girosi, M. Jones, and T. Poggio, Regularization Theory and Neural Networks Architectures, Neural Computation, vol.26, issue.3, pp.219-269, 1995.
DOI : 10.1016/0893-6080(90)90004-5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.9258

M. Gareth, C. A. James, and . Sugar, Clustering for sparsely sampled functional data, Journal of American Statistical Association, vol.98, pp.397-408, 2003.

T. Kohonen, Self-Organizing Maps, 1997.

J. L. Mark and . Orr, Regularization in the selection of radial basis function centers, Neural Computation, vol.7, issue.3, pp.606-623, 1995.

J. Park and I. W. Sandberg, Universal Approximation Using Radial-Basis-Function Networks, Neural Computation, vol.2, issue.2, pp.246-257, 1991.
DOI : 10.1109/35.41401

J. Ramsay and B. Silverman, Functional Data Analysis, 1997.

F. Rossi and B. Conan-guez, Functional multi-layer perceptron: a non-linear tool for functional data analysis, Neural Networks, vol.18, issue.1, 2004.
DOI : 10.1016/j.neunet.2004.07.001

F. Rossi and B. Conan-guez, Functional preprocessing for multilayer perceptrons, Proceedings of ESANN 2004, pp.319-324, 2004.

F. Rossi, B. Conan-guez, and . Golli, Clustering functional data with the som algorithm, Proceedings of ESANN 2004, pp.305-312, 2004.

F. Rossi, B. Conan-guez, and F. Fleuret, Functional data analysis with multilayer perceptrons, Proceedings of IJCNN 2002, pp.2843-2848, 2002.

F. Rossi, B. Conan-guez, and F. Fleuret, Theoretical properties of functional multilayer perceptrons, Proceedings of ESANN 2002, pp.7-12, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00001191

I. W. Sandberg, Notes on weighted norms and network approximation of functionals IEEE Transactions on Circuits and Systems?I: Fundamental Theory and Applications, pp.600-601, 1996.

W. Irwin, L. Sandberg, and . Xu, Network approximation of inputoutput maps and functionals, Circuits Systems Signal Processing, vol.15, issue.6, pp.711-725, 1996.

B. Maxwell and . Stinchcombe, Neural network approximation of continuous functionals and continuous functions on compactifications, Neural Networks, vol.12, issue.3, pp.467-477, 1999.

V. Vapnik, Statistical Learning Theory, 1998.