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» Hardware Reconfigurable Neural Networks
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NIPS
1997
14 years 11 months ago
Computing with Action Potentials
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
John J. Hopfield, Carlos D. Brody, Sam T. Roweis
IJCNN
2006
IEEE
15 years 3 months ago
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...
SC
2005
ACM
15 years 3 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
EAAI
2008
116views more  EAAI 2008»
14 years 9 months ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
SOCO
2008
Springer
14 years 8 months ago
Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
Location awareness is the key capability of mobilecomputingapplications. Despitehighdemand, indoor location technologies have not become truly ubiquitous mainly due to their requir...
Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungy...