中文摘要：

在现在的纸，我们建议混乱时间系列的联合预言的一条途径。方法基于增加重量一个等级混乱时间的本地区域的方法系列。方法允许我们定义与给定的可能性包含未来价值的间隔，它被学习预言错误分发获得。Itseffectiveness 被显示出，数据由逻辑地图产生了。

英文摘要：

In the present paper, we propose an approach of combination prediction of chaotic time series. The method is based on the adding-weight one-rank local-region method of chaotic time series. The method allows us to define an interval containing a future value with a given probability, which is obtained by studying the prediction error distribution. Its effectiveness is shown with data generated by Logistic map.