640 search results - page 24 / 128 » Extracting Propositions from Trained Neural Networks |
ICIP
1998
IEEE
14 years 9 months ago
1998
IEEE
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
AIIA
2001
Springer
13 years 12 months ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
ICANN
2005
Springer
14 years 28 days ago
2005
Springer
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
ESANN
2003
13 years 8 months ago
2003
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...