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» On O-Minimal Hybrid Systems
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HYBRID
1998
Springer
15 years 10 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
POS
1992
Springer
15 years 10 months ago
Supporting Large Persistent Stores using Conventional Hardware
Persistent programming systems are generally supported by an object store, a conceptually infinite object repository. Objects in such a repository cannot be directly accessed by u...
Francis Vaughan, Alan Dearle
IWANN
1995
Springer
15 years 10 months ago
EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers
1 This paper presents a new technique for the design of real-time controllers based on a hybrid approach which integrates several control strategies, such as intelligent controlle...
Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. ...
WSC
2008
15 years 9 months ago
Discrete Rate Simulation using linear programming
Discrete Rate Simulation (DRS) is a modeling methodology that uses event based logic to simulate linear continuous processes and hybrid systems. These systems are concerned with t...
Cecile Damiron, Anthony Nastasi
ABIALS
2008
Springer
15 years 8 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg