195 search results - page 4 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
ESANN
2004
13 years 8 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...