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» The Recurrent Control Neural Network
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TSMC
2008
162views more  TSMC 2008»
15 years 5 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 11 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 10 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»
15 years 5 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 10 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