LES RESEAUX DE NEURONES ARTIFICIELS, INTRODUCTION AU CONNEXIONNISME

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. LES RESEAUX DE NEURONES ARTIFICIELS, INTRODUCTION AU CONNEXIONNISME Claude Touzet

[1]  Yann LeCun,et al.  Modeles connexionnistes de l'apprentissage , 1987 .

[2]  R. Beer,et al.  Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology , 1990 .

[3]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[4]  François Blayo.  Une implantation systolique des algorithmes connexionnistes , 1991 .

[5]  Stephen Grossberg,et al.  The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.

[6]  R. Palmer,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[7]  James A. Anderson,et al.  Neurocomputing: Foundations of Research , 1988 .

[8]  Rodney A. Brooks,et al.  A robot that walks; emergent behaviors from a carefully evolved network , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[9]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.

[10]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[11]  Claude Touzet.  Contribution à l'étude et au développement de modèles connexionnistes séquentiels , 1990 .

[12]  Marvin Minsky,et al.  Perceptrons: expanded edition , 1988 .

[13]  G. Kane.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[14]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

[15]  James L. McClelland,et al.  Explorations in parallel distributed processing: a handbook of models, programs, and exercises , 1988 .

[16]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[17]  W S McCulloch,et al.  A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.

[18]  C. Jutten.  Calcul neuromimétique et traitement du signal : analyse en composantes indépendantes , 1987 .

[19]  E. Ross.  Association , 1886, American Journal of Sociology.

[20]  P. Anandan,et al.  Pattern-recognizing stochastic learning automata , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[21]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .