Abstract
In this paper the NeuDB system is presented, which accomplishes the physical and conceptual integration of neural networks with an object-oriented database system. In the context of the database system neural networks are seen as basic objects and are administrated via the conventional and handy interface of the system. The network paradigm of a neural network object is defined by the respective sub type according to the type hierarchy of the general neural net database type. The structural information is stored using a data oriented approach. The dynamic components of the neural networks are triggered by conventional database operations (insertion, update, etc.) and are processed by an independent neural network server.
Overall a conceptual framework for the embedding of neural networks into database systems and an embedding classification is given.
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© 1994 Springer-Verlag Berlin Heidelberg
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Schikuta, E. (1994). The NeuDB-system: Towards the integration of neural networks and database systems. In: Nebel, B., Dreschler-Fischer, L. (eds) KI-94: Advances in Artificial Intelligence. KI 1994. Lecture Notes in Computer Science, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58467-6_15
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DOI: https://doi.org/10.1007/3-540-58467-6_15
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