Léon Personnaz

Léon Personnaz, Isabelle Rivals, L. Constant, 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).

A statistical method for the prediction of the loop tack and the peel of PSAs from probe test measurements

Léon Personnaz, Isabelle Rivals, Costantino Creton, 2005 .

A biologically constrained learning mechanism in networks of formal neurons

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .

No free lunch with the sandwich [sandwich estimator]

Léon Personnaz, Isabelle Rivals, 2003, IEEE Trans. Neural Networks.

Training recurrent neural networks: why and how? An illustration in dynamical process modeling

Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, 1994, IEEE Trans. Neural Networks.

Construction of confidence intervals for neural networks based on least squares estimation

Léon Personnaz, Isabelle Rivals, L. Personnaz, 2000, Neural Networks.

A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1998, Neurocomputing.

Nonlinear internal model control using neural networks: application to processes with delay and design issues

Léon Personnaz, Isabelle Rivals, L. Personnaz, 2000, IEEE Trans. Neural Networks Learn. Syst..

Specification and implementation of a digital Hopfield-type associative memory with on-chip training

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 1992, IEEE Trans. Neural Networks.

A unified framework for gradient algorithms used for filter adaptation and neural network training

Odile Macchi, Pierre Roussel-Ragot, Gérard Dreyfus, 1992, Int. J. Circuit Theory Appl..

Designing a neural network satisfying a given set of constraints

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Internal model control using neural networks

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1996, Proceedings of IEEE International Symposium on Industrial Electronics.

Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus

Gérard Dreyfus, Léon Personnaz, Christiane Linster, 1993, Neural Computation.

Handwritten digit recognition by neural networks with single-layer training

Gérard Dreyfus, Léon Personnaz, Stefan Knerr, 1992, IEEE Trans. Neural Networks.

and Implementation of Digital Hopeld-Type Associative Memory with On-Chip Training

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 2012 .

Training wavelet networks for nonlinear dynamic input-output modeling

Gérard Dreyfus, Léon Personnaz, Yacine Oussar, 1998, Neurocomputing.

A new approach to the design of neural network classifiers and its application to the automatic recognition of handwritten digits

Gérard Dreyfus, Léon Personnaz, S. Knerr, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Pairwise Neural Network Classifiers with Probabilistic Outputs

Gérard Dreyfus, David Price, Léon Personnaz, 1994, NIPS.

Silicon Integration of Learning Algorithms and Other Auto-Adaptive Properties in a Digital Feedback Neural Network

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 1991 .

A simple selectionist learning rule for neural networks

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Single-layer learning revisited: a stepwise procedure for building and training a neural network

Gérard Dreyfus, Léon Personnaz, S. Knerr, 1989, NATO Neurocomputing.

Neural-network construction and selection in nonlinear modeling

Léon Personnaz, Isabelle Rivals, 2003, IEEE Trans. Neural Networks.

Response to the comments by J. Larsen and L.K. Hansen for: : Construction of confidence intervals for neural networks based on least squares estimation (Neural Networks 13)

Léon Personnaz, Isabelle Rivals, 2002 .

Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms

Pierre Roussel-Ragot, Sylvie Marcos, Léon Personnaz, 1993, Neural Computation.

Comment on "Recurrent neural networks: A constructive algorithm, and its properties"

Gérard Dreyfus, Léon Personnaz, 1998, Neurocomputing.

A statistical procedure for determining the optimal number of hidden neurons of a neural model

Léon Personnaz, Isabelle Rivals, 2000 .

On Cross Validation for Model Selection

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1999, Neural Computation.

Jacobian Conditioning Analysis for Model Validation

Léon Personnaz, Isabelle Rivals, 2004, Neural Computation.

A CURSORY INTRODUCTION TO THE PHYSICISTS' NEURAL NETWORKS

Gérard Dreyfus, Léon Personnaz, Elie Bienenstock, 1989 .

CONSTRUCTION OF CONFIDENCE INTERVALS IN NEURAL MODELING USING A LINEAR TAYLOR EXPANSION

Léon Personnaz, Isabelle Rivals, 1998 .

High-order neural networks: information storage without errors

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Neural Network Design for Efficient Information Retrieval

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .