Two or three things that we know about the Kohonen algorithm. - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (ESANN, 1994)

A non linear Kohonen algorithm. - Jean-Claude Fort; Gilles Pagès (ESANN, 1994)

A lateral contribution learning algorithm for multi MLP architecture. - Nicolas Pican; Jean-Claude Fort; Frédéric Alexandre (ESANN, 1994)

An on-line learning algorithm for the orthogonal weight estimation of MLP. - Nicolas Pican; Jean-Claude Fort; Frédéric Alexandre (Neural Process. Lett., 1994)

About the Kohonen algorithm: strong or weak self-organization? - Jean-Claude Fort; Gilles Pagès (ESANN, 1995)

Comments about "Analysis of the convergence properties of topology preserving neural networks". - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (IEEE Trans. Neural Networks, 1995)

Quantization vs Organization in the Kohonen S.O.M. - Jean-Claude Fort; Gilles Pagès (ESANN, 1996)

Almost sure convergence of the one-dimensional Kohonen algorithm. - Avec M. Benaïm; Jean-Claude Fort; Gilles Pagès (ESANN, 1997)

Convergences of the Kohonen Maps: A Dynamical System Approach. - Jean-Claude Fort; Gilles Pagès (ICANN, 1997)

Theoretical aspects of the SOM algorithm. - Marie Cottrell; Jean-Claude Fort; Gilles Pagès (Neurocomputing, 1998)

Advantages and drawbacks of the Batch Kohonen algorithm. - Jean-Claude Fort; Patrick Letrémy; Marie Cottrell (ESANN, 2002)

Decreasing step Stochastic algorithms: a.s. behaviour of weighted empirical measures. - Jean-Claude Fort; Gilles Pagès (Monte Carlo Methods Appl., 2002)

Double quantization of the regressor space for long-term time series prediction: method and proof of stability. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Neural Networks, 2004)

Time series forecasting: Obtaining long term trends with self-organizing maps. - Geoffroy Simon; Amaury Lendasse; Marie Cottrell; Jean-Claude Fort; Michel Verleysen (Pattern Recognit. Lett., 2005)

SOM's mathematics. - Jean-Claude Fort (Neural Networks, 2006)

Benefits of textural characterization for the classification of hyperspectral images. - Guillaume Roussel; Véronique Achard; Alexandre Alakian; Jean-Claude Fort (WHISPERS, 2010)

Average Competitive Learning Vector Quantization. - Luis A. Salomón; Jean-Claude Fort; Li-Vang Lozada-Chang (Commun. Stat. Simul. Comput., 2014)

Global Sensitivity Analysis and Wasserstein Spaces. - Jean-Claude Fort; Thierry Klein; Agnès Lagnoux (SIAM/ASA J. Uncertain. Quantification, 2021)