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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
ICCS
2003
Springer
14 years 16 days ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
RAID
2009
Springer
14 years 1 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
BMCBI
2008
154views more  BMCBI 2008»
13 years 7 months ago
GeNESiS: gene network evolution simulation software
Background: There has been a lot of interest in recent years focusing on the modeling and simulation of Gene Regulatory Networks (GRNs). However, the evolutionary mechanisms that ...
Anton Kratz, Masaru Tomita, Arun Krishnan