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1
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Feedforward Neural Network Design with Tridiagonal Symmetry Constraints
– Adriana Dumitras, Faouzi Kossentini
- 1999
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7
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What's Wrong with A Cascaded Correlation Learning Network: A Projection Pursuit Learning Perspective
– Jenq-neng Hwang, Shih-Shien You, Shyh-rong Lay, I-Chang Jou
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23
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An iterative pruning algorithm for feedforward neural networks
– Giovanna Castellano, Anna Maria Fanelli, Marcello Pelillo
- 1997
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5
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Fuzzy Astronomical Seeing Nowcasts with a Dynamical and Recurrent Connectionist Network
– Alex Aussem, Alex Aussem Yz, Fionn Murtagh, Marc Sarazin
- 1994
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4
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A Genetic Algorithm for the Topological Optimization of Neural Networks
– Rafal Salustowicz, Matr Nr, Aufgabensteller Prof, Dr. E. Konrad, Betreuer Prof, Dr. D. E. Rumelhart
- 1995
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A Genetic Algorithm for the Topological Optimization of Neural Networks
– Rafał Sałustowicz
- 1995
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11
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Estimating the Scene Illumination Chromaticity by Using a Neural Network
– Vlad C. Cardei, Brian Funt, Kobus Barnard
- 2002
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Quantum Mechanics as Information Fusion
– George Chapline
- 1999
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Supervisor at Nada was Örjan Ekeberg
– Johan Sveholm, Johan Sveholm, Examiner Was Anders Lansner
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Research Category: Particulate Matter “Supersites ” Program Sorting Code: 99-NCERQA-X1 Title: BALTIMORE SUPERSITE: HIGHLY TIME AND SIZE RESOLVED CONCENTRATIONS OF URBAN PM2.5 AND ITS CONSTITUENTS FOR RESOLUTION OF SOURCES AND IMMUNE RESPONSES
– unknown authors
- 2000
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Neural Multigrid for Gauge Theories and Other Disordered Systems
– M. Bäker, T. Kalkreuter, G. Mack, M. Speh
- 1992
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Quo vadimus? - Much hard work is still needed
– Tommaso Toffoli
- 1998
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An Exactly Solvable Model of Unsupervised Learning
– Michael Biehl Connect, Michael Biehl
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Computational Capabilities of Restricted Two Layered Perceptrons
– Avner Priel Marcelo, Marcelo Blatt, Tal Grossman, Eytan Domany, Ido Kanter
- 1994
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Effective Field Theories
– Mack Kalkreuter Palma, G. Mack, T. Kalkreuter, G. Palma, M. Speh
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Learning Structured Data From Unspecific Reinforcement
– Michael Biehl Reimer, Michael Biehl, Reimer Kuhn, Ion-olimpiu Stamatescu
- 2000
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Using Reduce For Replica Calculations
– Paul Lukowicz Klaus-Robert, Klaus-robert Muller, Werner M. Seiler
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2
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A Simple Perceptron that Learns Non-Monotonic Rules
– Jun-ichi Inoue, Hidetoshi Nishimori, Yoshiyuki Kabashima
- 1997
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2
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Application of Neural Networks for the Classification of Diffuse Liver Disease by Quantitative Echography
– M.S. klein Gebbinck, J. T. M. Verhoeven, J. M. Thijssen, T.E. Schouten
- 1993
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