Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Enterprise Software
Format: PDF
In this paper, the authors focus on implementation of novel concurrency control methods using Artificial Neural Networks (ANNs) and fuzzy logic with applications to Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) database that involves more and unspecified duration of time to complete a transaction. Most of the transactions in the CAD/CAM data base include drawing entities to form a complete manufacturing drawing, with processing and inventory details. In this paper, artificial neural network method using Functional Update Back Propagation Algorithm (FUBPA) and Locally Weighted Projection Regression (LWPR) and Fuzzy Logic have been used for implementing concurrency control while developing product bearing using Autodesk inventor 9.

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