5 search results - page 1 / 1 » Towards Rough Neural Computing Based on Rough Membership Fun... |
RSCTC
2000
Springer
13 years 8 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
ISMIS
2000
Springer
13 years 8 months ago
2000
Springer
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
FSS
2008
13 years 4 months ago
2008
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
EUROCOLT
1997
Springer
13 years 8 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
JMLR
2002
13 years 4 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...