In this paper, a novel approach is proposed to improve the classification performance of a
polynomial neural network (PNN). In this approach, the partial descriptions (PDs) are …

Two innovative systems based on feed-forward and recurrent neural network used for
qualitative analysis has been applied to specimens of different fruit tea. Their performance …

This paper presents two innovative evolutionary-neural systems based on feed-forward and
recurrent neural networks used for quantitative analysis. These systems have been applied …

This paper presents a quality enhancement of the selected features by a hybrid filter-based
jointly on feature ranking and feature subset selection (FR-FSS) using a consistency-based …

Abstract Development of reliable medical decision support systems has been the subject of
many studies among which Artificial Neural Networks (ANNs) gained increasing popularity …

This paper combines feature selection methods with a two-stage evolutionary classifier
based on product unit neural networks. The enhanced methodology has been tried out with …

Abstract Primary and Secondary Polycythemia are diseases of the bone marrow that affect
the blood's composition and prohibit patients from becoming blood donors. Since these …

Abstract The performance of Neural Networks (NN) depends on network structure, activation
function and suitable weight values. For finding optimal weight values, freshly, computer …

This paper presents a workbench to get simple neural classification models based on
product evolutionary networks via a prior data preparation at attribute level by means of filter …

Today, with respect to the increasing growth of demand to get credit from the customers of
banks and finance and credit institutions, using an effective and efficient method to decrease …