The movement of the end of pattern vector on the plane indicates the quality of the product and the mould state. A threshold value of the product quality is described.
利用力的特征量组成的模式向量的端点位置刻划产品质量和模具状态，并制定了判断产品质量、模具状态的门限值。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Pattern recognition of support vector network with supervising learning is studied in this paper.
研究了有监督学习支持向量网络的的模式识别；
应用推荐