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NC
1998
101views Neural Networks» more  NC 1998»
15 years 8 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
CEC
2010
IEEE
15 years 7 months ago
An examination on the modularity of grammars in grammatical evolutionary design
Abstract-- This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the sa...
John Mark Swafford, Michael O'Neill
GPEM
2010
134views more  GPEM 2010»
15 years 5 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GEM
2009
15 years 4 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
SAMOS
2007
Springer
16 years 25 days ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...