| Abstract | In this paper, Rough Sets approach has been used to reduce
the number of inputs for two neural networks-based applications that
are, diagnosing plant diseases and intrusion detection. After the reduction
process, and as a result of decreasing the complexity of the classifiers,
the results obtained using Multi-Layer Perceptron (MLP) revealed
a great deal of classification accuracy without affecting the classification
decisions. |