Sanaa Rashed Abdallah

Abstracts

1 Using Gene Expression Programming in Learning Process of Rough Neural Networks

Authors: Yasser F. Hassan, Sanaa Rashed Abdallah

Abstract:

The paper will introduce an approach where a rough sets, gene expression programming and rough neural networks are used cooperatively for learning and classification support. The Objective of gene expression programming rough neural networks (GEP-RNN) approach is to obtain new classified data with minimum error in training and testing process. Starting point of gene expression programming rough neural networks (GEP-RNN) approach is an information system and the output from this approach is a structure of rough neural networks which is including the weights and thresholds with minimum classification error.

Keywords: Rough Sets, classification, rough neural networks, gene expression programming

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