SVM has already shown its successful application on the CCP discovery for HACCP implementation. However, the classic non-incremental SVM method is not an effective algorithm due to the thoroughly re-study for those samples are gradually added. We propose a new incremental algorithm. It makes use of the heuristic mode so that training can be firstly applied on the cases with greater possibilities to be SVs, and the training set can be reduced. The experiments show that the training speed is visibly improved without losing the precision of the classification.
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赵春江,王开义,喻钢,徐红敏.基于SVM快速增量算法的HACCP控制点分类[J].农业机械学报,2009,40(Z1):260-262. Incremental SVM Method for Classification of CCPs on HACCP Implementation[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):260-262.