103 search results - page 6 / 21 » Extraction of fuzzy rules from trained neural network using ... |
TNN
1998
13 years 7 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
SOCO
2002
Springer
13 years 7 months ago
2002
Springer
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
NN
1998
Springer
13 years 7 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...