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。
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。
Gray relational analysis and BP neural network to model the samples was established in the work area for optimal formation bit computing model.
采用灰色关联分析法和BP神经网络法对样本进行建模，建立了适用于工区地层钻头优选的计算模型。
The paper puts emphasis on the application of BP artificial neural net work model to evaluate the port enterprise supply chain risk. Then it studies on the risk handling and risk precaution.
重点是建立了港口企业供应链风险评估系统，运用BP人工神经网络模型评估供应链风险，研究了港口企业供应链的风险处理与防范措施。
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。
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。
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