This paper proposes an improved adding-weight one-rank local-region method for prediction of chaotic time series.
提出了一种用于混沌时间序列预测的改进型加权一阶局域法。
The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.
在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
应用推荐