Sciweavers

46 search results - page 3 / 10
» Rule extraction from neural networks by interval propagation
Sort
View
ICML
1991
IEEE
13 years 9 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
CP
2000
Springer
13 years 10 months ago
Automatic Generation of Propagation Rules for Finite Domains
plexity Theorems: Talk Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 David McAllester Regular Papers Automatic Generation of Propagation Rules for F...
Slim Abdennadher, Christophe Rigotti
AIIA
2001
Springer
13 years 10 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
CORR
2010
Springer
179views Education» more  CORR 2010»
13 years 2 months ago
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
Ming-Chang Lee, To Chang
ICANN
2005
Springer
13 years 11 months ago
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
Henrik Jacobsson, Tom Ziemke