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» Evolving Complex Neural Networks
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NIPS
1993
14 years 11 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
IJCNN
2000
IEEE
15 years 2 months ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski
FPL
2008
Springer
125views Hardware» more  FPL 2008»
14 years 11 months ago
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dud...
CIDM
2009
IEEE
15 years 4 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson
CCIA
2006
Springer
15 years 1 months ago
Tactical modularity for evolutionary animats
In this paper, we use a massive modular architecture for the generation of complex behaviours in complex robots within the evolutionary robotics framework. We define two different ...
Ricardo A. Téllez, Cecilio Angulo