640 search results - page 4 / 128 » Extracting Propositions from Trained Neural Networks |
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
TNN
2010
13 years 2 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
ESANN
2003
13 years 8 months ago
2003
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
FUZZY
2001
Springer
13 years 12 months ago
2001
Springer