The feature level module adopts RBF neural network to extract feature of data and to make feature fusion.

特征级融合模块采用RBF神经网络，其功能是提取数据特征进而特征信息融合。

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Logging curves and stratum parameters are changed to image pattern by image process technology. Neural networks are introduced to extract and remember pattern character of curves automatically.

利用图像处理技术将测井曲线和地质参数转化为图像模式，由神经网络自动提取和记忆曲线所表征的小层模式特征。

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The former first eliminate the shadow of moving objects, and then extract shape invariant moment characteristics of object's whole region and identify them by a BP neural network.

前一种方法是在去除目标影子的前提下，提取运动目标整体形状的不变矩特征，然后利用BP人工神经网络进行目标的识别。

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