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IROS
2006
IEEE
126views Robotics» more  IROS 2006»
14 years 1 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
TNN
2008
100views more  TNN 2008»
13 years 7 months ago
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
In this paper, several sufficient conditions are established for the global asymptotic stability of recurrent neural networks with multiple time-varying delays. The Lyapunov
Huaguang Zhang, Zhanshan Wang, Derong Liu
IJCNN
2000
IEEE
13 years 11 months ago
The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Sol
The generalized maze problem has been considered as an interesting testbed by various researchers in AI and neural networks. The most significantresults, fiom a neural networks po...
Donald C. Wunsch
ICES
2003
Springer
125views Hardware» more  ICES 2003»
14 years 17 days ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
EUROCOLT
1997
Springer
13 years 11 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag