University of Khartoum

Neural Database Model

Neural Database Model

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dc.contributor.author Elsawi, Ahmed Mohammed
dc.contributor.author Yahia, Moawia Elfaki
dc.contributor.other Department of Computer Science en_US
dc.date 2012
dc.date.accessioned 2015-12-15T07:59:45Z
dc.date.available 2015-12-15T07:59:45Z
dc.date.issued 2015-12-15
dc.date.submitted 2015
dc.identifier.uri http://khartoumspace.uofk.edu/handle/123456789/17664
dc.description.abstract The work described herein is primarily concerned with recent trends of upgrading Database from its traditional retrieving to that of having a conscious function. The present study establishes a new model, which constructs and merges the neural networks using the Relational Database (RDB) and Fourth Generation Language (4GL) methods. This is illustrated by neural network model, which is based solely on the RDB and SQL method. This led to a new technique and opened new channels for the use of the RDB and SQL methods in different branches of programming and system analysis, other than their traditional use. A new role is also presented for the concepts of classical storage and active storage. The control structure oriented and data structure oriented have also been considered. The work also deals with a practical example of transforming the source code from Third Generation Language to Fourth Generation Language. en_US
dc.language.iso en en_US
dc.publisher University of Khartoum en_US
dc.subject Neural Network en_US
dc.subject Database Models en_US
dc.subject Forth Generation Languages en_US
dc.subject Intelligent Database en_US
dc.title Neural Database Model en_US
dc.type Publication en_US
dc.Faculty Mathematical Sciences en_US

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