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Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
最后，本算法与BP神经网络和多项式拟合算法比较，色彩转换精度有明显提高。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
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