248 search results - page 17 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
IJIT
2004
13 years 9 months ago
2004
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
ICCS
2005
Springer
14 years 1 months ago
2005
Springer
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
CIG
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
AIPR
2004
IEEE
13 years 11 months ago
2004
IEEE
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in developing real-time systems for autonomous driving. A...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...