1) preorder
[pri:'ɔ:də]
预序
1.
The purpose of this paper is to deal with the numerical representation problem of preorders.
本文着重考虑预序的实函数表示问题，给出了由（连续）实函数表示的预序所拥有的几个固有性质，其中最主要的是可分离性。
2.
in this paper, we combine L-fuzzy syntopogenous structures with the concepts of preorder structure, and discuss the weakly a-convexity(resp.
本文将ｘ上的Ｌ－ｆｕｚｚｙ拓扑共生结构与ｘ上的预序结构联系起来，并以Ｌ－ｆｕｚｚｙ集的保序性，反序性，序凸性为基点，讨论Ｌ－ｆｕｚｚｙ拓扑共生预序空间的弱ａ－反序性、弱ａ－保序性、弱ａ－序凸性。
3.
On the basis of general testing syntax and semantic, the paper focus on the research of the trace preorder and the observati.
本文在通用试验语义和语法的基础上,着重研究了踪迹预序和观察预序。
2) Precursor Structure
预有序
3) time series prediction
时序预测
1.
In order to reflect the change in deformation of surrounding rocks in soft rock bolt-grouting roadway along with time,we have built the time series prediction model of the deformation of surrounding rock in soft rock bolt-grouting roadway based on the RBF neural network and the data of the deformation observed from the locale.
为反映软岩锚注巷道围岩的变形在时间上的变化规律,利用径向基函数RBF神经网络强大的非线性映射能力,通过已经观测到的巷道围岩变形数据,建立软岩锚注巷道围岩变形量的时序预测模型。
4) Program pre-reading
程序预读
5) prediction program
预测程序
1.
For that mechanical performances of welding consumes and weld are predicted validly before welding process qualification,prediction program of pipeline girth welding Performance is developed in which an improved momentum back-propagation neural network model is applied in this paper,and this program have been integrated in the expert system software for pipeline welding process design.
采用增加动量因子的改进型BP神经网络模型,开发了适用于管道施工的焊材和焊缝区金属的力学性能预测程序,并集成于管道焊接工艺设计的专家系统中。
6) sequence prediction
序列预测
1.
In this paper, Markov chain model used for anomaly detection is in discussed in depth from three aspects, one-step, multi-step Markov chain and multi-step Markov chain-based sequence prediction.
Markov链模型作为一种统计分析方法是异常检测的重要分析手段 ,论文分别从单步、多步Markov链和基于Markov链的序列预测三个方面 ,研究了Markov链模型在异常检测检测上的应用 。
补充资料：设备安装前的准备工作——设备的预装配与预调整
设备安装前的准备工作——设备的预装配与预调整 | ||
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