869 search results - page 58 / 174 » An Effective Learning Method for Max-Min Neural Networks |
MM
2004
ACM
14 years 2 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
WSC
1998
13 years 10 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
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...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...