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» A theoretical framework for multiple neural network systems
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ESANN
2006
13 years 10 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
IJCNN
2007
IEEE
14 years 3 months ago
DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices
—Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area monitor and wide-are...
Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoor...
NN
2006
Springer
120views Neural Networks» more  NN 2006»
13 years 8 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
HYBRID
1997
Springer
14 years 29 days ago
Controller Scheduling Using Neural Networks: Implementation and Experimental Results
This paper presents the results of simulation and control experiments using a recently proposed method for real-time switching among a pool of controllers. The switching strategy ...
Enrique D. Ferreira, Bruce H. Krogh