摘要
大比例尺、高精度航空物探测量,为岩性分类提供了可靠的基础资料,而BP神经网络分类为岩性分类提供了有效手段。笔者依据BP神经网络模型原理,编制了用于航空物探数据处理与解释的BP神经网络软件,并成功用于航空伽马能谱的岩性分类解释。示例证明,借助BP神经网络算法,处理并解释航空物探数据的分类问题,如岩性划分等,具有十分明显的效果。
Large-scale and high-precision aerogeophysical survey provides reliable data for lithologic classification,and BP neutral net supplies effective means to lithologic classification.Based on the principle of BP neutral net model,the authors compiled the BP neutral net software for the processing and interpretation of aerogeophysical data and successfully used this software to the lithologic classification and interpretation of air-borne gamma-ray spectra.Practical examples show that the application of the BP neutral net method to the processing and interpretation of such aerogeophysical data classification problems as lithologic division has very obvious effects.
出处
《物探与化探》
CAS
CSCD
北大核心
2010年第4期485-488,共4页
Geophysical and Geochemical Exploration
关键词
BP神经网络
误差修正
训练样本
航空物探
数据处理与解释方法
岩性分类
BP neutral net
error correction
training sample
aerogeophysical exploration
data processing and interpretation
lithologic classification
