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GEM
2009
13 years 6 months ago
Evolutionary Methods in Self-organizing System Design
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all the...
Istvan Fehervari, Wilfried Elmenreich
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 3 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
SAB
2010
Springer
156views Optimization» more  SAB 2010»
13 years 6 months ago
Co-development of Linguistic and Behavioural Skills: Compositional Semantics and Behaviour Generalisation
Abstract. Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indic...
Elio Tuci, Tomassino Ferrauto, Gianluca Massera, S...
IWANN
2009
Springer
14 years 1 months ago
A Soft Computing System to Perform Face Milling Operations
In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with...
Raquel Redondo, Pedro Santos, Andrés Bustil...
IJCNN
2006
IEEE
14 years 2 months ago
An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System
—This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the contr...
Salman Mohagheghi, Ganesh K. Venayagamoorthy, Rona...