Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen
We propose a new scheme to construct neural networks to classify pat(cid:173)
terns. The new scheme has several novel features :
We focus attention on the important attributes of patterns in ranking order. Extract the most important ones first and the less important ones later.
In training we use the information as a measure instead of the error