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ANNS
2010
15 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
ROBIO
2006
IEEE
110views Robotics» more  ROBIO 2006»
16 years 1 months ago
Demand-Driven Development of Parallel Robots with Adaptronic Components by a Modular System
Abstract - Parallel robots provide high stiffness, accelerations and accuracy. They are relatively complex products that are specialized to a specific problem. Normally a new robot...
Carsten Stechert, Nenad Pavlovic, Hans-Joachim Fra...
TSP
2008
94views more  TSP 2008»
15 years 7 months ago
Cross-Entropy-Based Sign-Selection Algorithms for Peak-to-Average Power Ratio Reduction of OFDM Systems
Sign-selection uses a set of subcarrier signs to reduce the peak-to-average power ratio (PAR) of orthogonal-frequency-division multiplexing (OFDM). However, the computational compl...
Luqing Wang, Chintha Tellambura
SIGCSE
2009
ACM
221views Education» more  SIGCSE 2009»
16 years 7 months ago
Virtualized games for teaching about distributed systems
Complex distributed systems are increasingly important in modern computer science, yet many undergraduate curricula do not give students the opportunity to develop the skill sets ...
Joel Wein, Kirill Kourtchikov, Yan Cheng, Ron Guti...
DS
1997
104views Database» more  DS 1997»
15 years 8 months ago
Managing Constraint Violations in Administrative Information Systems
This paper motivates a comprehensive methodological framework for dealing with some aspects of real-world complexity in information system analysis and design. By complex applicat...
I. Boydens, Alain Pirotte, Esteban Zimányi