Intelligence Classifier Method
Jingyu Yang · Journal of Jiangsu University of Science and Technology · 2007
The sample database with small size can not be used to train the classifiers sufficiently and the traditional classifiers may not have any change once they are designed.The artificial intelligence idea and methods are considered to design the classifiers and the concept of the intelligence classifier(ICF) is proposed.ICF can classify unknown samples as the traditional classifier.It also has some functions such as multi-experts decision,preclassifying and learning.So ICF is a self-adaptive system whose parameters can be optimized in classification.The experimental results on ORL face database show that the intelligent classifier has great advantages in solving the problem of small sample size.