| 引用本文: | 郁滨，张昊，钟慕良，毛宗源，周其节.自适应优化的模糊预测系统及其应用[J].控制理论与应用,1999,16(4):536~540.[点击复制] |
| Yu Bing，Zhang Hao，Zhong Muling，Mao Zongyuan，Zhou Qijie.Adaptively Optimized Fuzzy Forecasting System and Its Application[J].Control Theory and Technology,1999,16(4):536~540.[点击复制] |
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| 自适应优化的模糊预测系统及其应用 |
| Adaptively Optimized Fuzzy Forecasting System and Its Application |
| 摘要点击 1136 全文点击 449 投稿时间：1997-06-02 |
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| DOI编号 |
| 1999,16(4):536-540 |
| 中文关键词 模糊系统 自适应学习 短期负荷预测 经济预测方法 |
| 英文关键词 fuzzy systems adaptive learning short-term load forecast economic forecasting methods |
| 基金项目 |
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| 中文摘要 |
| 本文设计并实现了一个模糊预测系统，该系统通过对历史数据的自适应学习获得初始的预测系统，借助实时数据的梯度信息对系统参数进行自适应优化，具有较强的适应性和自学习能力。以电力负荷预测为应用背景的一系列实验研究表明这一智能化的系统性能是令人满意的。 |
| 英文摘要 |
| This paper designs and accomplishes a fuzzy forecasting system，which can achieve original forecasting model by adaptive learning from historical data and adaptively optimize its parameters through gradient information of real time data.Thus,the system is provided with extinguished adaptive feature and self-learning capability.Taking electric power load forecasting as application background,a series of experiment research is put forward.Experiment results demonstrate satisfactory performance of the intelligent forecasting system. |