4 search results - page 1 / 1 » Geometric Interpretation of Nonlinear Approximation Capabili... |
ISNN
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
NC
1998
13 years 6 months ago
1998
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
STOC
1993
ACM
13 years 9 months ago
1993
ACM
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
ECCC
2000
13 years 4 months ago
2000
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...