16 search results - page 2 / 4 » Neural Network based Constraint Satisfaction in Ontology Map... |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
CIBCB
2007
IEEE
13 years 8 months ago
2007
IEEE
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
ISCI
2008
13 years 4 months ago
2008
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
SAFECOMP
2004
Springer
13 years 10 months ago
2004
Springer
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...