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ANNS
2010
13 years 2 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
CORR
2010
Springer
201views Education» more  CORR 2010»
13 years 5 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
MMB
2010
Springer
194views Communications» more  MMB 2010»
14 years 16 days ago
Searching for Tight Performance Bounds in Feed-Forward Networks
Abstract. Computing tight performance bounds in feed-forward networks under general assumptions about arrival and server models has turned out to be a challenging problem. Recently...
Andreas Kiefer, Nicos Gollan, Jens B. Schmitt
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 29 days ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller

Publication
243views
14 years 6 months ago
A Java-based Wrapper for Wireless Communications
The increasing number of new applications for mobile devices in pervasive environments, do not cope with changes in the wireless communications. Developers of such applications hav...
Alessandro Genco, Antonio Gentile, Cono Ferrarotto...