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FLAIRS
2008
13 years 11 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
PR
2006
119views more  PR 2006»
13 years 8 months ago
Fingerprint matching by genetic algorithms
Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. In this p...
Xuejun Tan, Bir Bhanu
APIN
1998
139views more  APIN 1998»
13 years 8 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 2 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 2 months ago
Circuit Bipartitioning Using Genetic Algorithm
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
Jong-Pil Kim, Byung Ro Moon