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Research of Integrated Prediction Model Based on Knowledge Discovery

机译:基于知识发现的集成预测模型研究

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摘要

Up to now, many ways or models of prediction have been produced, but their capability is restricted to uni-objective prediction of medium-scale data collection and to simplification of complex system. The prediction of multi-objective of uncertainly complex system with massive data collection is beyond its capability. Aiming at the properties of complex system, the paper has organically combined the theory and method of knowledge discovery with those of the traditional forecast. The author has established an integrated prediction model of multi-objects and multi-factors based on knowledge discovery and presented a realizing technology of system based on object-oriented. This research has supported the prediction of complex system technologically and therefore enjoys a certain applying value.
机译:到目前为止,已经产生了许多预测方法或模型,但是它们的能力仅限于中等规模数据收集的单目标预测以及简化复杂系统。具有海量数据收集的不确定复杂系统的多目标预测超出了其能力范围。针对复杂系统的特性,本文将知识发现的理论和方法与传统的预测方法有机地结合在一起。建立了基于知识发现的多目标多因素集成预测模型,并提出了一种基于面向对象的系统实现技术。该研究在技术上支持了复杂系统的预测,因此具有一定的应用价值。

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