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We present a procedure for reconstructing the decision function of an artificial neural network as a simple function of the input, provided the decision function is sufficiently symmetric.
LIII.on lines and planes of closest fit to systems of points in space
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Crystal statistics. i. a two-dimensional model with an order-disorder transition
Lars Onsager · 1944
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The monte carlo method
Nicholas Metropolis and S. Ulam · 1949
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Monte carlo study of quantized SU(2) gauge theory
Michael Creutz · 1980
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Approximation by superpositions of a sigmoidal function
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Approximation capabilities of multilayer feedforward networks
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Interpretation of artificial neural networks: Mapping knowledge-based neural networks into rules
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d-wave superconductivity and pomeranchuk instability in the two-dimensional hubbard model
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High field phase diagram of cuprates derived from the nernst effect
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QCD PHASE DIAGRAM AND THE CRITICAL POINT
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Theory of the pseudogap state of the cuprates
C. M. Varma · 2006
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Color superconductivity in dense quark matter
Mark G. Alford, Andreas Schmitt, Krishna Rajagopal, and Thomas Schäfer · 2008
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Two gaps make a high-temperature superconductor?
S Hüfner, M A Hossain, A Damascelli, and G A Sawatzky · 2008
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Scattering and pairing in cuprate superconductors
Louis Taillefer · 2010
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Quantum Chromodynamics on the Lattice
Christof Gattringer and Christian B. Lang · 2010
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Functional renormalization for spontaneous symmetry breaking in the hubbard model
S. Friederich, H. C. Krahl, and C. Wetterich · 2011
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Superconductivity from repulsive interactions in the two-dimensional electron gas
S. Raghu and S. A. Kivelson · 2011
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