46 search results - page 8 / 10 » Rule extraction from neural networks by interval propagation |
NPL
2006
14 years 9 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
14 years 8 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
124
click to vote
IDA
2008
Springer
14 years 10 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
INFORMATICALT
2007
14 years 9 months ago
2007
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
EMS
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...