Classification Process using Hybrid model of Rough Neural Networks and Gene Expression Programming
The paper will introduce a new model of rough neural networks based on learning using gene expression programming for classification support. The Objective of gene expression programming rough neural networks approach is to obtain new classified data with minimum error in training and testing process. Starting point of gene expression programming rough neural networks 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.
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