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» Explanation-Based Neural Network Learning for Robot Control
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ENGL
2007
164views more  ENGL 2007»
15 years 1 months ago
Vision Based Target-Tracking Realized with Mobile Robots using Extended Kalman Filter
— The paper presents a novel scheme for target-tracking realized with two mobile robots, where one robot is configured as tracker and the other as moving target. Fuzzy C-means cl...
Sheli Sinha Chaudhuri, Amit Konar
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 8 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
IAT
2008
IEEE
15 years 2 months ago
Scaling Up Multi-agent Reinforcement Learning in Complex Domains
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
Dan Xiao, Ah-Hwee Tan
ICRA
2002
IEEE
118views Robotics» more  ICRA 2002»
15 years 6 months ago
Fault Tolerance in Cooperative Manipulators
The problem of fault tolerance in cooperative manipulators rigidly connected to a solid object is addressed in this paper. Four faults are considered: free-swinging joint faults, ...
Renato Tinós, Marco H. Terra, Marcel Berger...
BMCBI
2006
169views more  BMCBI 2006»
15 years 1 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...