TY - JOUR T1 - Random Neural Network Approach in Distributed Database Management Systems AU - Karahoca, Adem AU - Ucan, Osman N. AU - Danacı, Erkan PY - 2011 DA - November JF - IU-Journal of Electrical & Electronics Engineering PB - İstanbul University-Cerrahpasa WT - DergiPark SN - 1303-0914 SP - 84 EP - 110 VL - 1 IS - 1 LA - en AB - In this paper, Random Neural Network (RNN) approach has been applied to the distributed databasedesign of technology-corridor prototype project for Avcýlar Campus of Istanbul University in Turkey.This project includes university, industry and government collaboration. Here, we need a distributedenvironment for designing sub databases and fragmenting them on the sites. Therefore, differenttechniques are considered for a database fragmentation. When techniques are described, eight differentproperties are controlled for database process behaviors. Fragmentation techniques are ordered foreach property. These orders help us to make decision about which fragmentation technique is the bestfor distributed database system. Here RNN approach and Radial basis functions networks are used forgeneralization of selection of partitioning techniques. Training data of Radial basis function networks andRNN are provided from the programs, which are executing under Oracle database. In this paper, firstlywe used Neural Networks approaches at distributed environments for automatic database fragmentationselection operation and designed two non-linear algorithms. Then, Random Neural Network Methodshave been applied to the same problem and obtained satisfactory results.Key Words: Database, database design, distributed database, database fragmentation, neuralnetworks, radial basis function networks, random neural network UR - https://dergipark.org.tr/en/pub/iujeee/issue//116698 L1 - https://dergipark.org.tr/en/download/article-file/98952 ER -