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» Evolving neural network ensembles for control problems
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IJCNN
2006
IEEE
14 years 1 months ago
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
Eu Jin Teoh, Huajin Tang, Kay Chen Tan
PDCAT
2004
Springer
14 years 1 months ago
An Enhanced Fuzzy Neural Network
In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self...
Kwang-Baek Kim, Young Hoon Joo, Jae-Hyun Cho
GECCO
2009
Springer
14 years 8 days ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
IJCNN
2006
IEEE
14 years 1 months ago
Oscillatory Network for Synchronization-Based Adaptive Image Segmentation
— Oscillatory network model with controllable oscillator dynamics and self-organized dynamical coupling has been created for synchronization-based image processing. The model was...
Eugene Grichuk, Margarita Kuzmina, Edward A. Manyk...
TNN
2010
185views Management» more  TNN 2010»
13 years 2 months ago
An adaptive multiobjective approach to evolving ART architectures
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...