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» Modular Neural Networks Evolved by Genetic Programming
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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 3 months ago
The Push3 execution stack and the evolution of control
The Push programming language was developed for use in genetic and evolutionary computation systems, as the representation within which evolving programs are expressed. It has bee...
Lee Spector, Jon Klein, Maarten Keijzer
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
14 years 10 months ago
VoIP speech quality estimation in a mixed context with genetic programming
Voice over IP (VoIP) speech quality estimation is crucial to providing optimal Quality of Service (QoS). This paper seeks to provide improved speech quality estimation models with...
Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, ...
GEM
2009
14 years 7 months ago
Evolutionary Methods in Self-organizing System Design
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all the...
Istvan Fehervari, Wilfried Elmenreich
IJON
2006
146views more  IJON 2006»
14 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
92
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 9 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya