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IJCSA
2007
100views more  IJCSA 2007»
14 years 9 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
IJCNN
2006
IEEE
15 years 4 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
KES
2006
Springer
14 years 10 months ago
Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework
Abstract. This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks....
Vadim Gerasimov, Gerry Healy, Mikhail Prokopenko, ...
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
15 years 4 months ago
Complex networks of simple neurons for bipedal locomotion
— Fluid bipedal locomotion remains a significant challenge for humanoid robotics. Recent bio-inspired approaches have made significant progress by using small numbers of tightl...
Brian F. Allen, Petros Faloutsos
KES
1998
Springer
15 years 2 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...