A Fast Incremental SVM algorithm for discovery of CCPs on HACCP Implementation

摘要

SVM has already shown its successful application on the CCP discovery for HACCP implementation. However, the classic non-incremental SVM method is not an efficient algorithm due to the thoroughly re-study for those samples are gradually added. In this paper, we propose a new incremental SVM algorithm d-ISVM which makes use of the heuristic that training should be firstly applied on cases which have greater possibilities to be SVs, so the training set can be reduced. The experiments show that the training speed is visibility improved without losing the precision of the classification.