SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.
SFAM是一个改进版神经网络分离器，是模糊ARTMAP的简化和快速版本。对于相同的输入FAM和SFAM具有相同的输出。
In order to improve network performance, the adaptive alert parameters was applied to optimize the network, and Multi-SFAM compounded classifier was used to overcome the classification defect.
为了改善网络性能，采用自适应警戒参数的方法对网络进行优化；采用多SFAM分类器集成复合的方法克服分类缺陷。
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