This paper structures a human capital prediction model with BP neural network technology. And it has been used in an example.
本论文利用数据挖掘中的BP神经网络技术，构建了人力资本预测模型，并根据实际数据利用该模型进行了实证预测。
So we have attempted to apply the BP Neural Network Technology to improve further the automatic-control ability of the continuous extrusion process of copper.
因此尝试采用BP神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
Sinter quality simulating model and optimizing iron ores matching model were built by using BP neural network technology and genetic algorithms technology, respectively.
应用BP神经网络技术和遗传优化技术分别建立烧结矿质量模拟模型和烧结寻优配矿模型；
And it has explored a new field for the application of BP neural network method technology.
为BP神经网络方法技术的应用探索了一个新的领域。
This paper discusses the technology of DM based on ANN(artificial neural network), puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm.
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试。
The technology optimization of electroless plating can be predicted by BP neural network and orthogonal experiment.
利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
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。
This artificial neural network technology to predict the scale of the field of mobile users, using MATLAB software to design prediction model for the size of mobile users based on BP neural network.
本文将人工神经网络技术应用到移动用户规模预测领域中，利用MATLAB软件设计出基于BP神经网络的移动用户规模预测模型。
This paper try to predict soil erosion with the Least Square support vector machine technology and the better predict precision compared to the BP artificial neural network has been gotten.
首次尝试将最小二乘支持向量机技术用于土壤侵蚀预测，并与BP神经网络的方法进行了对比，取得了较好的预测精度。
Based on BP neural network model technology, a new model about the relation of wool washing processing parameters and washing quality was developed and used to work out the new wool washing process.
基于BP神经网络方法，建立了洗毛工艺参数与洗毛质量之间关系的模型，对洗毛新工艺进行判别。
Based on BP neural network model technology, a new model about the relation of wool washing processing parameters and washing quality was developed and used to work out the new wool washing process.
基于BP神经网络方法，建立了洗毛工艺参数与洗毛质量之间关系的模型，对洗毛新工艺进行判别。
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