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» Extracting Propositions from Trained Neural Networks
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ER
1995
Springer
107views Database» more  ER 1995»
13 years 11 months ago
Neural Network Technology to Support View Integration
Abstract The most difficult and time consuming activity to perform during view integration is to find correspondences between different view specifications. Such correspondences...
Ernst Ellmer, Christian Huemer, Dieter Merkl, G&uu...
AMC
2007
154views more  AMC 2007»
13 years 7 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
IAJIT
2010
102views more  IAJIT 2010»
13 years 6 months ago
Multilayer neural network-burg combination for acoustical detection of buried objects
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
Mujahid Al-Azzo, Lubna Badri
ASC
2004
13 years 7 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
IDEAL
2005
Springer
14 years 27 days ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak