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» The Recurrent Control Neural Network
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TSMC
2008
162views more  TSMC 2008»
14 years 9 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
ISNN
2004
Springer
15 years 3 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
NECO
2002
80views more  NECO 2002»
14 years 9 months ago
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
Richard H. R. Hahnloser, Rodney J. Douglas, Klaus ...
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
15 years 2 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan