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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
15 years 1 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
CEC
2005
IEEE
14 years 11 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
ISNN
2005
Springer
15 years 3 months ago
Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation
The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and tr...
Yingjie Yang, David Gillingwater, Chris J. Hinde
IBPRIA
2003
Springer
15 years 3 months ago
A Probabilistic Model for the Cooperative Modular Neural Network
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Luís A. Alexandre, Aurélio C. Campil...
IJCAI
1989
14 years 11 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis