基于遗传BP神经网络的数据挖掘技术

Data Mining Technique Based on Genetic BP Neutral Network

数据挖掘技术是从大量数据中挖掘知识的有效的工具。BP神经网络和遗传算法是运用在数据挖掘中的两种新兴算法,神经网络的结构复杂、网络训练时间长、收敛速度慢,但其具有较高的正确率,把BP神经网络与遗传算法相结合,可以提高收敛速度,并在有限步内达到较高的精度要求,因此本文提出了一种遗传算法和BP神经网络相互结合的新算法,并把算法运用在数据挖掘技术中。

Data mining technique is an effective tool used to obtain desired knowledge from massive data. BP neural Network and Genetic algorithms are two new algnrithms in the application of data mining,Aeombination of BP neutral network and Genetic algorithms can accelerate the convergence and reach comparatively high precision（requirement） within finite steps. The paper proposes a new algorithm combining BP neural Network and Genetic algorithms with appliations to the data mining technique.