|
|||||
|
|
| 基于知识发现复杂不确定性系统预测模型研究应用 | |
| 引用本文： | 苏占东,游福成,杨炳儒. 基于知识发现复杂不确定性系统预测模型研究应用[J]. 装备指挥技术学院学报, 2005, 16(3): 95-99. DOI: 10.3783/j.issn.1673-0127.2005.03.023 |
| 作者姓名： | 苏占东 游福成 杨炳儒 |
| 作者单位： | 1. 北京科技大学,信息工程学院,北京,100083;河北工程学院,计算系,河北,邯郸,056000 2. 北京印刷学院,北京,102600 3. 北京科技大学,信息工程学院,北京,100083 |
| 基金项目： | 国家自然科学基金资助项目(69835001) |
| 摘 要： | 针对复杂不确定性系统特性,将知识发现理论方法与预测理论方法有机结合起来。在研究适于预测知识发现理论与挖掘方法的基础上,继承传统统计学、概率论和神经网络等预测理论与方法,构建了基于知识发现多目标、多因素集成化预测模型(integratedpredictionmodelbasedonknowledgediscovery,IPMK),并通过对油气储量、产量和需求量的预测,验证了预测模型的有效性与实用性。 |
| 关 键 词： | 知识发现 预测模型 分类知识 概念格 时序模式 |
| 文章编号： | 1673-0127(2005)03-0095-05 |
| 修稿时间： | 2004-09-24 |
Application of the Complex Uncertainty Integrated Prediction Model Based on Knowledge Discovery |
|
| SU Zhan-dong,YOU Fu-Cheng,YANG Bing-ru. Application of the Complex Uncertainty Integrated Prediction Model Based on Knowledge Discovery[J]. Journal of the Academy of Equipment Command & Technology, 2005, 16(3): 95-99. DOI: 10.3783/j.issn.1673-0127.2005.03.023 | |
| Authors: | SU Zhan-dong YOU Fu-Cheng YANG Bing-ru |
| Abstract: | The paper focuses on the properties of complex uncertainty system, and associates knowledge discovery theory and methods with prediction theory and methods. On the basis of the research of knowledge discover theory and data mining methods applicable to prediction, the paper utilizes the traditional prediction theory based on statistics, probability and neural networks to found an integrated prediction model. Based on knowledge discovery, the predict model of multi-objects and multi-factors are conceived. Its practicability and validity are proved in the prediction of output, reserves, and required quantity of oil and natural gas. |
| Keywords: | knowledge discovery prediction model classification knowledge concept lattice time-series pattern |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |