地震资料的统计模式识别和神经网络模式识别

STATISTICAL PATTERN RECOGNITION AND NEURAL NETWORK PATTERN RECOGNITION OF SEISMIC DATA

在油气储集层预测技术中存在着两种不同的地震模式识别方法——统计模式识别和神经网络模式识别。文中详细地描述了上述两种方法，着重在于分析两者决策面的差异，并得出结论：神经网络模式识别的决策面可以是任意复杂的形式，而统计模式识别的决策面只能是有限的几种简单形式；因此神经网络模式识别较统计模式识别具有更大的适应性。

There are two different seismic pattern recognition methods for prediction of hydrocarbon reservoir.One is statistical pattern recognition (SPR),the other is neural network pattern recognition(NNPR).In this paper,both methods are described with special attention to the analysis of decision interfaces.The decision interface of NNPR can be of any complex forms,while SPR can only have some simple decision interfaces,so NNPR is more adaptable than SPR.This conclusion has been proved by two examples