关键词: 人工智能, 岩相, 海相, 碳酸盐相, 模式识别

Abstract: Artificial neural networks (ANNS)have been studied in recent years and applied to problems on pattern recognition in many fields.ANNs are a complex system consisting of a large number of simple processing units like human being's nerves by interacting with each other to be able to carry out highly nonlinear mapping.The backpropagation learning algorithm and the function－link model which needs only few training samples are introduced in this ANNs to recognize six kinds of carbonate lithofacies,such as tidal flat and platform ramp,etc.After learning,ANNs can correctly recognize and classify the trained samples and get up to 85% justification rate of the 32 tested samples.Since ANNs needn't establish mathematical model,instead,automatically adjust their connected weight values,ANNs can be popularly used as a common method for pattem recognition.

Key words: artificial neural ztetworks (ANNs), lithofacies, marane fades, carbonate lithofades, pattern recognition