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论述了人工神经网络的基本原理。采用误差反向传插神经网络（ＢＰ网络）对油田测井解释参数束缚水饱和度进行了计算和分析，使误差精度提高了１０％。
The basic principle of artificial neural network is discussed. The error back propagation neural network (BP network) was used to calculate and analyze the irreducible water saturation of oilfield logging interpretation parameters, which improved the error accuracy by 10%.