Abstract
A framework for the conceptual and physical integration of neural networks into object-relational database systems is presented.
The neural network 'meta model', as the neural network paradigms, the static and dynamic properties, and the pattern description, is realized by
a collection of objects, relations and dependencies between them. The specific network objects (the 'ortho' networks) are objects in these relations.
A handling scheme for the application data set, as input, output and training information, stored in the relational database together with the neural
networks is depicted. Finally the implementation of the new {NeuroOracle} system based on the proposed framework is presented.
The neural network 'meta model', as the neural network paradigms, the static and dynamic properties, and the pattern description, is realized by
a collection of objects, relations and dependencies between them. The specific network objects (the 'ortho' networks) are objects in these relations.
A handling scheme for the application data set, as input, output and training information, stored in the relational database together with the neural
networks is depicted. Finally the implementation of the new {NeuroOracle} system based on the proposed framework is presented.
| Originalsprache | Englisch |
|---|---|
| Titel | AIAP'07: Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications |
| Erscheinungsort | Anaheim, CA |
| Herausgeber (Verlag) | ACTA Press |
| Seiten | 30-35 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Feb. 2007 |
ÖFOS 2012
- 102001 Artificial Intelligence
- 102018 Künstliche Neuronale Netze