Neural Database Model

摘要

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.