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ORCIDNATO Neurocomputing 1989: Les Arcs, France
- Françoise Fogelman-Soulié, Jeanny Hérault:
Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27 - March 3, 1989. NATO ASI Series 68, Springer 1990, ISBN 978-3-642-76155-3 - C. Mejía, Françoise Fogelman-Soulié:
Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction. 3-13 - Richard Durbin, David E. Rumelhart:
Product Units with Trainable Exponents and Multi-Layer Networks. 15-26 - Luís B. Almeida, João Paulo Neto:
Recurrent Backpropagation and Hopfield Networks. 27-36 - François Vallet:
Optimization of the number of hidden cells in a multilayer perceptron. Validation in the linear case. 37-40 - Stefan Knerr, Léon Personnaz, Gérard Dreyfus:
Single-layer learning revisited: a stepwise procedure for building and training a neural network. 41-50 - Robert Azencott:
Synchronous Boltzmann Machines and Gibbs Fields: Learning Algorithms. 51-63 - Jouko Lampinen, Erkki Oja:
Fast Computation of Kohonen Self-Organization. 65-74 - Marc Mézard:
Learning algorithms in neural networks: recent results. 75-79 - Pierre Comon:
Statistical approach to the Jutten-Hérault algorithm. 81-88 - Gaël de La Croix Vaubois, Catherine Moulinoux, Benoît Derot:
The N Programming Language. 89-92 - Eric Goles:
Neural Networks Dynamics. 93-102 - Mario Compiani, Daniele Montanari, Roberto Serra, Paolo Simonini:
Dynamical Analysis of Classifier Systems. 103-107 - Pietro Morasso, Gianni Viardo Vercelli
, Renato Zaccaria:
Neuro-Computing Aspects in Motor Planning & Control. 109-115 - Matthew K. O. Lee:
Neural Networks and Symbolic A.I. 117-120 - Michel Weinfeld:
Integrated artificial neural networks: components for higher level architectures with new properties. 123-130 - Karl Goser:
Basic VLSI Circuits for Neural Networks. 131-140 - Michel Verleysen, Paul G. A. Jespers:
An Analog VLSI Architecture for Large Neural Networks. 141-144 - Christian Jutten, Jeanny Hérault:
Analog implementation of a permanent unsupervised learning algorithm. 145-152 - Eros Pasero, Leonardo M. Reyneri:
An Analog Cell for VLSI Implementation of Neural Networks. 153-156 - Dante Del Corso, Francesco Gregoretti, Leonardo M. Reyneri:
Use of Pulse Rate and Width Modulations in a Mixed Analog/digital Cell for Artificial Neural Systems. 157-160 - Fabrizio Baiardi, R. Mussardo, R. Serra, G. Valastro:
Parallel Implementation of a Multi-Layer Perceptron. 161-166 - Patrick Garda, K. Madani, Francis Devos, Pierre Chavel, Philippe Lalanne, Jean Taboury:
A monolithic processor array for stochastic relaxation using optical random number generation. 167-172 - Daniel Collobert, Suzanne Salaün, Patrick Guyader, Joël Guérin, Bruno Vinouze:
Dedicated neural networki:Suzanne A retina for edge detection. 173-179 - M. G. Norman, Nicholas J. Radcliffe, Gareth D. Richards, Frank J. Smieja, D. J. Wallace, J. F. Collins, S. J. Hayward, B. M. Forrest:
Neural Network Applications in the Edinburgh Concurrent Supercomputer Project. 181-193 - Pierre Peretto, Robert Van Zurk, André Mougin, Christian Gamrat:
The Semi-Parallel Architectures of Neuro-Computers. 195-204 - Yoshua Bengio, Régis Cardin, Piero Cosi, Renato De Mori, Ettore Merlo:
Speech coding with multilayer networks. 207-216 - Hervé Bourlard, Nelson Morgan, Christian Wellekens:
Statistical Inference in Multilayer Perceptrons and Hidden Markov Models with Applications in Continuous Speech Recognition. 217-226 - John S. Bridle:
Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition. 227-236 - Pascal Blanchet:
Data Compression Using Multilayer Perceptrons. 237-240 - Dominique G. Béroule:
Guided Propagation: current state of theory and applications. 241-260 - Khalid Choukri, Gérard Chollet, Claude Montacié:
Speaker adaptation using multi-layer feed-forward automata and canonical correlation analysis. 261-264 - Frank Fallside:
Analysis of linear predictive data as speech and of ARMA processes by a class of single-layer connectionist models. 265-283 - Thierry Michaux, Pedro L. Galindo, Susana González:
High Level Speech Processing by Competitive Neural Networks From Psychology to Simulation. 285-296 - Umit Dagitan, Nese Yalabik:
Connected Word Recognition Using Neural Networks. 297-300 - Yann LeCun, Larry D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard:
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. 303-318 - Fouad Badran, Sylvie Thiria, Michel Crépon:
A method to de-alias the scatterometer wind field: a real world application. 319-324 - Catherine Bourrely, Serge Muller:
Detection of microcalcifications in mammographic images. 325-328 - Ethem Alpaydin:
What is a feature, that it may define a character, and a character, that it may be defined by a feature ? 329-332 - Mathilde Mougeot, Robert Azencott, Bernard Angéniol:
A Study of Image Compression with Backpropagation. 333-336 - V. Cruz, G. Cristobal, T. Michaux, S. Barquin:
Distortion Invariant Image Recognition by Madaline and Back-Propagation Learning Multi-Networks. 337-343 - Enrico De Micheli, G. Radonich, Sergio Uras, Vincent Torre:
An Algorithm for Optical Flow. 345-356 - Yves Burnod:
Multicellular Processing Units for Neural Networks: Model of Columns in the Cerebral Cortex. 359-368 - Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton, Yves Burnod:
A Potentially Powerful Connectionist Unit: The Cortical Column. 369-377 - Jørn Hounsgaard, Jens Midtgaard:
Complex information processing in real neurones. 379-388 - Michel Dufossé:
Formal Approach and Neural Network Simulation of the Co-ordination between Posture and Movement. 389-394 - Guy A. Orban, Mark Devos, Rufin Vogels:
Cheapmonkey: Comparing an ANN and the Primate Brain on a Simple Perceptual Task: Orientation Discrimination. 395-404
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