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JIRS
2008
100views more  JIRS 2008»
15 years 2 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
NC
2010
159views Neural Networks» more  NC 2010»
15 years 20 days ago
Automata and processes on multisets of communicating objects
Abstract. Inspired by P systems initiated by Gheorghe P˜aun, we study a computation model over a multiset of communicating objects. The objects in our model are instances of fini...
Linmin Yang, Yong Wang, Zhe Dang
HCI
2009
15 years 8 hour ago
Can Neurophysiologic Synchronies Provide a Platform for Adapting Team Performance?
We have explored using neurophysiologic patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world proble...
Ronald H. Stevens, Trysha Galloway, Chris Berka, M...
FOCI
2007
IEEE
15 years 8 months ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
IWANN
1999
Springer
15 years 6 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin