本文在使用BP神经网络对自相关过程进行监控的基础之上，对隐层神经元数对于神经网络训练收敛性及识别率的影响进行分析研究。

In this research, various number of hidden nodes of neural network is studied to improve the training result and identification capability of BP neural network.

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免疫组织化学方法结合图像分析检测各组脊神经节sp的阳性神经元数和平均光密度，并计算阳性细胞百分率。

Immunohistochemical staining and image analysis were used to detect the number of the positive neurons and the mean optical density and the percentages of SP positive cells in the DRG.

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