关键词: 工序能力；最小二乘支持向量机；时间序列；智能预测

Abstract:

A new time series prediction method was put forward,based on fuzzy least square support vector machine (FLS-SVM). On the one hand, it can solve the small-batch learning better and avoid the disadvantages, such as over-training, weak normalization capability, ect., of artificial neural networks prediction. On the other hand, this proposed method is more accurate and can be realized easily because it sets larger weight on the nearer sample but smaller weight on the farther. As a result, the prediction effect shows the effectiveness and practicability of the mode. 

Key words: process capability, least square support vector machine, time series, intelligent prediction