信息分析与预测是一项内容广泛的信息深加工活动,其活动的侧重点主要体戏现在两个方面:一是对已知信息内容的深入分析;二是建立在这种分析基础上的对未知或未来信息的科学预测。
构建并编制了综合矿产资源信息分析与预测系统。
Synthesis Mineral Resource Information Analysis and Predication System (SMRIAPS) is set up.
本文引入神经网络技术,用以研究碳酸盐岩测井信息与岩心分析孔隙度的关系,并由此预测储层孔隙度。
The relation between carbonate rock logging information and core analysis porosity is studied by neural net technique to forecast reservoir porosity in this paper.
该方法能改进传统挣值法在预测工期、成本方面产生的偏差,并且与传统挣值方法相比,增加了更多的原因分析信息。
It corrects the deviation derived from traditional earned value method when forecasting the duration and cost, and it supplies more analysis information than traditional earned value method.
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