Application of radial basis function for concurrency control in CAD with KBMS

Manufacturing database stores large amounts of interrelated data. Each designer accessing an entity tries to modify the design parameters meeting the requirements of different customers. Sister concerns of the same group of company will be modifying the data as per design requirements. When information is updated with new modification by different group of designers, what is the order in which modification of the data has to be allowed. When simultaneous access of the information is done, sufficient care has to be taken to maintain consistency of data. In this research work, we have proposed an artificial neural network (ANN) method for managing the locks assigned to objects and the corresponding transactions are stored in a data structure. The main purpose of using the ANN is that it will require less memory in storing the lock assignment information for objects. We have attempted to use Radial Basis Function (RBF) neural network for storing and managing lock information when multi users are working on computer Aided Design (CAD) database with screw as a main object. The memory requirements of the proposed method is minimal in processing locks during transaction.