PRACTICAL PROBLEMS USING NEURAL NETWORKS
Françoise Fogelman Soulié · International Journal of Neural Systems · 1992
Neural Networks are very efficient for real world applications. However, practical problems often arise which can hinder performances. We discuss here some of these problems: under-representation of classes, rejection of outliers and ambiguous patterns, and illustrate the issues raised through various applications.