CAJ | 학술논문

对作为数据挖掘模型预测项的股票波段数值特征进行了研究．首先采用了二次平滑模型和有限自动机模型，根据股票峰（谷）点的概念实现对波段状态的初步提取．然后根据波段对象属性的规范化表示，给出了小波段与盘整波段的规则设定，用有限自动机模型实现小波段合并与盘整波段的提取，最终得到了过滤后的波段数值特征．
대작위수거알굴모형예측항적고표파단수치특정진행료연구．수선채용료이차평활모형화유한자동궤모형，근거고표봉（곡）점적개념실현대파단상태적초보제취．연후근거파단대상속성적규범화표시，급출료소파단여반정파단적규칙설정，용유한자동궤모형실현소파단합병여반정파단적제취，최종득도료과려후적파단수치특정．
The numerical characteristics of stock wave were studied based on pattern recognition. The quadratie smoothing model and basic limited automatic theories were adopted to extract the stock state according to the theory of stock peak-valley point. Daily transaction state of stock was realized to preliminary extraction. After standard expression of wave band, rule-making of the whole wave band and filtering of partial wave band, the numerical characteristics of stock wave were obtained finally.