摘要
本文将句法模式识别理论与地质科学中的有关理论相结合,提出了识别多类异常的模糊属性自动机。它具有识别时间短,效率高等特点,在矿藏预测、预报以及其他领域具有广泛的应用前景。
Based on the combinetion of the syntactic pattern recognition theory with the correlative theory in geological science, the fuzzy attributive automata for recognizing different kinds of anomalies is preseuted. they are characterized by the short time of recognition and the high efficiency and has good prospects for wide application in predicting mineral deposits and in other fields.
出处
《物探化探计算技术》
CAS
CSCD
1989年第4期312-320,共9页
Computing Techniques For Geophysical and Geochemical Exploration
