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» Evolving Artificial Neural Networks that Develop in Time
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GECCO
2003
Springer
158views Optimization» more  GECCO 2003»
15 years 5 months ago
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
John C. Gallagher, Saranyan Vigraham
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 6 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
15 years 5 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
CEC
2009
IEEE
14 years 9 months ago
A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot
This work proposes a biologically inspired system for the coordination of multiple and possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel scena...
Renan C. Moioli, Patrícia Amâncio Var...
IJCNN
2007
IEEE
15 years 6 months ago
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz...