12 search results - page 1 / 3 » Knowledge Acquisition Approach Based on Rough Set and Artifi... |
ICNC
2009
Springer
13 years 9 months ago
2009
Springer
In this paper, product structure is taken as knowledge acquisition point, and the effective knowledge acquisition path is discussed by establishing the associated relationship bet...
TNN
2008
13 years 4 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
AIIA
2001
Springer
13 years 8 months ago
2001
Springer
– 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...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
13 years 8 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...