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» Evolving Complex Neural Networks
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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...
APIN
1998
139views more  APIN 1998»
14 years 9 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
CORR
2006
Springer
79views Education» more  CORR 2006»
14 years 9 months ago
May We Have Your Attention: Analysis of a Selective Attention Task
In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to...
Eldan Goldenberg, Jacob R. Garcowski, Randall D. B...
NN
1998
Springer
14 years 9 months ago
Serial processing in human movement production
Abstract— This paper presents a study on exploiting the redundancy of a seven-link manipulator to evolve obstacle avoidance skill at the elbow, subjected to endeffector working ...
Joseph A. Doeringer, Neville Hogan
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 3 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen