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» On computational limitations of neural network architectures
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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 8 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
WCNC
2008
IEEE
14 years 1 months ago
Neural Network-Based Approach for Adaptive Density Control and Reliability in Wireless Sensor Networks
A primary constraint in wireless sensor networks (WSNs) is obtaining reliable and prolonged network operation with power-limited sensor nodes. Most of the approaches to the energy ...
Renita Machado, Sirin Tekinay
LCN
1998
IEEE
13 years 11 months ago
High Performance Integrated Network Communications Architecture (INCA)
Current communication subsystem mechanisms within workstation and PC class computers are limiting network communications throughput to a small percentage of the present network da...
Klaus Schug, Anura P. Jayasumana, Prasanth Gopalak...
ISMB
1993
13 years 8 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
GRID
2004
Springer
14 years 27 days ago
Dynamic Service Evolution for Open Languages in the Grid and Service Oriented Architecture
Dynamic behavior is inherent in virtual organizations. Semantics has to be processed to manage dynamism and other properties like state, life cycle, faults, and others. In our pap...
Thomas Weishäupl, Erich Schikuta