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神经网络在储层横向预测中的应用
引用本文:印兴耀,吴国忱,张洪宙.神经网络在储层横向预测中的应用[J].中国石油大学学报(自然科学版),1994(5).
作者姓名:印兴耀  吴国忱  张洪宙
作者单位:石油大学勘探系
摘    要:传统的冯·诺依曼程序存储式计算机擅长于数据处理,但是在类似于面貌及声音识别这样一些简单的认知问题方面,与人类相差很大.这种差异推动了神经网络的研究.本文讨论了误差反向传播网络(BP).给出了BP网络在储层横向预测测方面的应用.

关 键 词:神经网络  BP算法  储层预测

THE APPLICATION OF NEURAL NETWORKS IN THE RESERVIOR PREDICTION
Yiu Xingyao,Wu Guochen,Zhang Hongzhou.THE APPLICATION OF NEURAL NETWORKS IN THE RESERVIOR PREDICTION[J].Journal of China University of Petroleum,1994(5).
Authors:Yiu Xingyao  Wu Guochen  Zhang Hongzhou
Abstract:Traditional Von Neuniann computers are extremely good at data processing, but they cannot approach human performance in simple perceptual tasks such as recognizing aface of identifying a should.This discrepancy has been a motivating factor in the developmentof the neural networks research.This paper describes the basic concepts of the ArtificialNeural Networks.discusses the Back- propagation Neural Networks(BP).and finally,offersthe application of the BP in the reservior prediction.
Keywords:Neural Networks:BP algorithm:Reservior Prediction  
本文献已被 CNKI 等数据库收录!
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