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» Neural Logic Network Learning using Genetic Programming
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ISCI
2006
96views more  ISCI 2006»
14 years 11 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas
HIS
2008
15 years 1 months ago
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
André L. D. Rossi, André C. P. L. F....
106
Voted
JASIS
2000
143views more  JASIS 2000»
14 years 11 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
78
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 5 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
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
15 years 5 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood