| 1. | The essence of efmam is that , without destroying the original am ’ s structure and encoding strategies , the patterns in the original space is mapped into the similarity space , which is spanned by the training patterns , by means of empirical kernel map . thus the double noise tolerance is achieved . one is due to the empirical kernel map and the other due to the auto - fmams
Efmam的实质是在不改变原始fmam结构和编码策略的前提下,借助经验核映射,将原始输入空间中的模式映射到由训练模式张成的相似度空间中,从而达到双重抗噪性(一是由于经验核映射的引入,二是自联想fmam本身的抗噪性)的目的。 |
