Implementation of Locally Weighted Projection Regression Network for Concurrency Control In Computer Aided Design 

Abstract

This paper presents implementation of locally weighted projection regression (LWPR) network method for concurrency control while developing dial of a fork using Autodesk inventor 2008. The LWPR learns the objects and the type of transactions to be done based on which node in the output layer of the network exceeds a threshold value. Learning stops once all the objects are exposed to LWPR. During testing performance, metrics are analyzed. We have attempted to use LWPR for storing lock information when multi users are working on computer Aided Design (CAD). The memory requirements of the proposed method are minimal in processing locks during transaction.

Authors and Affiliations

A. Muthukumaravel , Dr. S. Purushothaman , Dr. A. Jothi

Keywords

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  • EP ID EP134732
  • DOI -
  • Views 95
  • Downloads 0

How To Cite

A. Muthukumaravel, Dr. S. Purushothaman, Dr. A. Jothi (2011). Implementation of Locally Weighted Projection Regression Network for Concurrency Control In Computer Aided Design . International Journal of Advanced Computer Science & Applications, 2(8), 46-50. https://europub.co.uk/articles/-A-134732