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» Petri nets design based on neural networks
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IPPS
2007
IEEE
15 years 8 months ago
VoroNet: A scalable object network based on Voronoi tessellations
In this paper, we propose the design of VoroNet, an objectbased peer to peer overlay network relying on Voronoi tessellations, along with its theoretical analysis and experimental...
Olivier Beaumont, Anne-Marie Kermarrec, Loris Marc...
MCS
2006
Springer
15 years 1 months ago
Variable projections neural network training
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
V. Pereyra, G. Scherer, F. Wong
ATVA
2006
Springer
131views Hardware» more  ATVA 2006»
15 years 5 months ago
Timed Unfoldings for Networks of Timed Automata
Whereas partial order methods have proved their efficiency for the analysis of discrete-event systems, their application to timed systems remains a challenging research topic. Here...
Patricia Bouyer, Serge Haddad, Pierre-Alain Reynie...
131
Voted
IWANN
2001
Springer
15 years 6 months ago
Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...
Enrique J. Carmona, José Mira, Juliá...
99
Voted
ADC
2005
Springer
104views Database» more  ADC 2005»
15 years 7 months ago
Dynamic Restructuring of Recovery Nets
A Self-Adaptive Recovery Net (SARN) is an extended Petri net model for specifying exceptional behavior in workflow systems. SARN caters for high-level recovery policies that are ...
Rachid Hamadi, Boualem Benatallah