Problems such as high noise data can be solved by using the user analysis model based on data mining, which is built with the application of BP Neutral Network Algorithm.
运用BP神经网络算法建立数据挖掘系统对解决煤炭行业中出现的实际问题有重大的意义。
A model of sale forecast based on a kind of improved BP neutral network was provided.
提出了一种基于改进BP神经网络的销售预测模型。
BP neutral network is one of the representative neutral network models, it is suitable for classifying.
BP神经网络是一种具有代表性的神经网络模型之一，它适用于信号的分类。
SVM algorithm is based on statistical theory. Analysis of the experimental results proved that the algorithm of could achieve much effective than that of BP neutral network.
该方法以统计学习理论为基础，通过和BP神经网络进行比较的实验，证明其在交通量预测中的有效性。
The average recognition accuracy of model reached 98% by building the BP neutral network classification model.
采用BP神经网络建立分类模型，模型平均识别准确率达98%。
The average recognition accuracy of model reached 98% by building the BP neutral network classification model.
采用BP神经网络建立分类模型，模型平均识别准确率达98%。
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