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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 10 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
126
Voted
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 10 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
ICES
2005
Springer
176views Hardware» more  ICES 2005»
15 years 10 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma
130
Voted
WOSS
2004
ACM
15 years 10 months ago
Towards a knowledge-based approach to architectural adaptation management
Self-adaptive software continually evaluates and modifies its own behavior to meet changing demands. One of the key issues in constructing such software is that of planning when a...
John C. Georgas, Richard N. Taylor
ISI
2004
Springer
15 years 10 months ago
Analyzing and Visualizing Criminal Network Dynamics: A Case Study
Dynamic criminal network analysis is important for national security but also very challenging. However, little research has been done in this area. In this paper we propose to use...
Jennifer Jie Xu, Byron Marshall, Siddharth Kaza, H...