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» Learning Behavior Models for Hybrid Timed Systems
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FLAIRS
2000
15 years 2 months ago
Autonomous Automobile Behavior through Context-Based Reasoning
Today's driving simulators are used in vehicle research and design as well as in training. However, most simulators are not convincing because the degree of realism is not ad...
Fernando G. Gonzalez, Patrick Grejs, Avelino J. Go...
84
Voted
CDC
2008
IEEE
159views Control Systems» more  CDC 2008»
15 years 7 months ago
Incorporating drivability metrics into optimal energy management strategies for Hybrid Vehicles
— Hybrid Vehicle fuel economy performance is highly sensitive to the energy management strategy used to select among multiple energy sources. Optimal solutions are easy to specif...
Daniel F. Opila, Deepak Aswani, Ryan McGee, Jeffre...
NECO
2007
150views more  NECO 2007»
15 years 5 days ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
112
Voted
ICCS
2003
Springer
15 years 5 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
96
Voted
QEST
2006
IEEE
15 years 6 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...