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ECAL
2005
Springer
15 years 9 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
ICANN
2007
Springer
15 years 10 months ago
Self-perturbation and Homeostasis in Embodied Recurrent Neural Networks: A Meta-model and Some Explorations with Mechanisms for
Abstract. We present a model of a recurrent neural network, embodied in a minimalist articulated agent with a single link and joint. The configuration of the agent defined by one...
Jorge Simão
128
Voted
RAS
2000
136views more  RAS 2000»
15 years 3 months ago
A comparative study of soft-computing methodologies in identification of robotic manipulators
This paper investigates the identification of nonlinear systems by utilizing soft-computing approaches. As the identification methods, Feedforward Neural Network architecture (FNN...
Mehmet Önder Efe, Okyay Kaynak
DSD
2004
IEEE
122views Hardware» more  DSD 2004»
15 years 7 months ago
On the Packet-Switched Implementation of a Discrete-Time CNN
Cellular Neural Networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched fieldprogrammable gate-...
Suleyman Malki, Lambert Spaanenburg
ICANN
2007
Springer
15 years 5 months ago
GARCH Processes with Non-parametric Innovations for Market Risk Estimation
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...
José Miguel Hernández-Lobato, Daniel...