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反向传播神经网络模型及其在测井资料岩性自动识别中的应用
引用本文:许建华. 反向传播神经网络模型及其在测井资料岩性自动识别中的应用[J]. 石油物探, 1993, 32(3): 53-59
作者姓名:许建华
作者单位:地矿部石油物探研究所 南京210014
摘    要:

关 键 词:反向传播 神经网络 测井 岩性识别
收稿时间:1992-08-01

BACK PROPAGATION NEURAL NETWORK MODEL AND ITS APPLICATION TO AUTOMATIC LITHOLOGIC IDENTIFICATION IN WELL LOGGING
Xu Jianhua. BACK PROPAGATION NEURAL NETWORK MODEL AND ITS APPLICATION TO AUTOMATIC LITHOLOGIC IDENTIFICATION IN WELL LOGGING[J]. Geophysical Prospecting For Petroleum, 1993, 32(3): 53-59
Authors:Xu Jianhua
Affiliation:The Research Institute of Geophysical Prosepcting for Petroleum, MGMR, Nanjing 210014
Abstract:This paper begins with an introduction on back propagation neural network models including the structures of neural cells and the back propagation neural network as well as its learning algorithms and execution ,then proceeds to study the application of the model to well logging data for lithologic identification including the selection of network structure paramaters and training samples as well as the learning and operation of networks. At last, two data processing examples are cited to show the satisfactory results achieved by applying the method.
Keywords:Back Propagation   Neural Network   Well Logging Data   Lithologic Identification.  
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