The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
Image object′s semantic hierarchy and its unsupervised learning algrithm
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet
