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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
15 years 7 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
JCP
2008
190views more  JCP 2008»
15 years 6 months ago
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach
In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonl...
Vishwas R. Puttige, Sreenatha G. Anavatti
AINA
2009
IEEE
15 years 12 months ago
A New Method of Proactive Recovery Mechanism for Large-Scale Network Failures
—This paper proposes a novel recovery mechanism from large-scale network failures caused by earthquakes, terrorist attacks, large-scale power outages and software bugs. Our metho...
Takuro Horie, Go Hasegawa, Satoshi Kamei, Masayuki...
IJCNN
2000
IEEE
15 years 11 months ago
Unsupervised Learning of Neural Network Ensembles for Image Classification
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
AINA
2004
IEEE
15 years 10 months ago
Performance Improvement for GPRS, WLAN Integration using Ad Hoc Networks
As the wireless technology evolves, one can access the Internet almost everywhere via many wireless access networks such as wireless LAN and GPRS. People would like to use the wir...
Jui-Ming Chen, Li-Der Chou