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» Approximate Objects and Approximate Theories
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IAT
2008
IEEE
15 years 6 months ago
Auction Analysis by Normal Form Game Approximation
Auctions are pervasive in today’s society and provide a variety of real markets. This article facilitates a strategic choice between a set of available trading strategies by int...
Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simo...
IJCNN
2006
IEEE
15 years 5 months ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
SAC
2006
ACM
15 years 5 months ago
A branch and prune algorithm for the approximation of non-linear AE-solution sets
Non-linear AE-solution sets are a special case of parametric systems of equations where universally quantified parameters appear first. They allow to model many practical situat...
Alexandre Goldsztejn
ICTAI
2002
IEEE
15 years 4 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
IWANN
2009
Springer
15 years 4 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges