基于新信息优先的强化缓冲算子的构造及应用

戴文战; 苏永

doi:10.3724/SP.J.1004.2012.01329

基于新信息优先的强化缓冲算子的构造及应用

doi: 10.3724/SP.J.1004.2012.01329

戴文战^1,2,,
苏永¹

1.
浙江理工大学自动化研究所杭州 310018;
2.
浙江工商大学信息与电子工程学院杭州 310018

详细信息

通讯作者:
戴文战

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出版历程
- 收稿日期: 2011-10-24
- 修回日期: 2012-03-01
- 刊出日期: 2012-08-20

New Strengthening Buffer Operators and Their Applications Based on Prior Use of New Information

DAI Wen-Zhan^{1,2
,},
SU Yong¹

1.
Institute of Automation, Zhejiang Sci-Tech University, Hangzhou 310018;
2.
School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018

摘要

摘要: 现实问题中存在这样一类非负单调递增(或衰减)序列,其早期数据增长(或衰减)缓慢,但从最末一个数据开始,系统由于受到外部强烈的激励,最新数据x(n) 大幅增大(或减小),且定性分析的结果也表明这种强激励带来的快速增长(或衰减)的态势在未来还会持续. 针对这样一类序列的预测建模问题,本文在缓冲算子公理体系下,提出了利用最新信息x(n)所反映的序列快速增长(或衰减)的"端倪"构造一类新的强化缓冲算子的方法,给出了相关定理及其详细证明. 理论分析和实证表明,基于新信息优先的强化缓冲算子建立的灰色模型能够有效地提高这类序列的预测精度.
- 新信息 /
- 强化缓冲算子 /
- 增长率 /
- 预测精度
Abstract: In practice, there is a kind of sequence in which its increase(or decrease) rate of the former part is relatively slow but after that end time, the latest data x(n) presents a fast growth(or decline) trend because the system is greatly subject to outside factors. And it is proved by qualitative analysis that this trend will last. For modeling this kind of sequence, novel strengthening buffer operators are put forward based on the prior use of latest information, and the relevant theorems are proved according to the axiomatic of buffer operators. The theoretical analysis and empirical test show that strengthening buffer operators proposed in this paper can effectively increase the forecast precision of grey model.
- New information /
- strengthening buffer operator /
- increase rate /
- forecast precision

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参考文献(1)

[1]

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