This paper presents a classification method for data mining based on BP neural network, and puts forward improvement ideas.
本文介绍一种基于BP神经网络的数据挖掘的分类方法，并提出了改进思想。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
According to the hierarchical principle, a classification method is presented based on the combination of rough set theory and BP neural network.
根据分层递阶的原则，提出一种将粗糙集理论与BP神经网络相结合的分类算法。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
BP neural network is widely used for classification of remote sensing image data nowadays.
BP神经网络近年来广泛地应用于遥感影像分类中。
BP neural network model for leather handle property classification was set up after the characteristic parameters were selected.
在选取了皮革手感品质表征参数的基础上，建立了皮革手感品质分类BP神经网络模型。
The results show that a relatively satisfied classification result can be achieved by using the classification method combined with BP neural network in land cover classification.
结果表明地理辅助数据参与的BP神经网络用于土地覆盖分类研究可以获得相对较好的分类结果。
This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.
结果表明：BP神经网络分类法是一种有效的湿地分类技术，能够提高分类精度。
In the image recognition section, classical BP neural network is used to classify the type of defects while we compare with the improved classification method of SVM.
在图像识别部分，采用了经典的BP神经网络对疵点类型进行分类，同时与改进的SVM分类方法进行比较。
This paper applied BP neural network to classify the 10 kinds of common wood textures. The results of the classification were reasonable.
应用BP神经网络对常见的10种木材纹理进行了分类研究，获得了比较满意的效果。
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。
This paper reviews some optimed methods of BP neural network models, and formulates the classification of these methods. In addition, some related problems and further research work are suggested.
文中综述了BP神经网络模型的一些优化方法，并对这些方法进行了分析，最后提出了存在的问题和进一步的工作。
Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.
小波神经网络，实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。
In the end, we initially achieved the classification for Fusarium by optimizing BP neural network training targets, network structure and transfer function.
最后，对BP神经网络的训练目标、网络结构和传递函数等参数进行了优化，初步实现对镰刀菌的分类。
First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.
该方法首先对人耳图片进行预处理，然后采用改进的两级2dpca算法，进一步压缩提取的人耳特征维数，最后采用BP神经网络进行分类识别。
The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network.
利用BP网的分类性可以将采集到的清晰数据集广义地分成模糊类。
The BP neural network algorithm is designed for safety classification and a case study has indicated the feasibility of the classification method.
计算结果表明，本文所述的分级方法是可行的。
The texture classification is completed with back propagation (BP) neural network.
最后利用反向传播(BP)神经网络进行纹理的分类识别。
It brought forward a method with a window segmentation technology to segment the seam images. The BP neural network was designed to conduct the classification work.
利用窗口分割技术对缝线图像进行图像分割处理，通过BP神经网络作为分类器进行类型识别。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
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