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对神经网络技术应用于数据挖掘算法进行了分析,对算法模型以及实现进行了探讨,有效的利用了神经网络具有分析处理数据以及相应的记忆、学习能力,将该方法应用于数据挖掘过程中,通过对煤矿选煤过程中的原煤灰以及精煤灰的筛选案例分析,验证了该方法的可行性与有效性。
This paper analyzes the application of neural network technology to data mining algorithm, discusses the algorithm model and its implementation, and effectively utilizes the neural network to analyze and process data and the corresponding memory and learning ability. The method is applied in data mining process, Through the case analysis of coal ash and coal ash in coal preparation process, the feasibility and effectiveness of the method are verified.