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» Recurrent neural networks in systems identification
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ALIFE
2004
13 years 7 months ago
Adaptability and Diversity in Simulated Turn-taking Behavior
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
Hiroyuki Iizuka, Takashi Ikegami
MVA
2007
153views Computer Vision» more  MVA 2007»
13 years 7 months ago
An image-based feature tracking algorithm for real-time measurement of clad height
This paper presents a novel algorithm for real-time detection of clad height in laser cladding which is known as a layered manufacturing technique. A realtime measurement of clad g...
Mehrdad Iravani-Tabrizipour, Ehsan Toyserkani
ECAL
2007
Springer
14 years 1 months ago
Neural Uncertainty and Sensorimotor Robustness
Real organisms live in a world full of uncertain situations and have evolved cognitive mechanisms to cope with problems based on actions and perceptions which are not always reliab...
Jose A. Fernandez-Leon, Ezequiel A. Di Paolo
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Division blocks and the open-ended evolution of development, form, and behavior
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...
Lee Spector, Jon Klein, Mark Feinstein
IJCSA
2007
100views more  IJCSA 2007»
13 years 7 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani