A fault trend prediction problem for a class of exponential fault process is studied.
研究了一类带有指数故障过程的故障趋势预测问题。
There are many statistical procedures to handle this financial distress prediction problem.
有很多方法可以用于解决企业财务危机的预测问题。
A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
基于混沌系统局部特征，提出了一种局部动力相似的混沌时间序列的预测方法。
Prediction problem of trim-beam number in colored-textile manufacturing process scheduling is discussed.
分析了整经轴数预测在实际色织生产过程调度中所起的重要作用。
Protein structure prediction problem is to predict the dimensional folding configurations from its amino acid sequence.
蛋白质构形预测问题就是根据组成蛋白质的氨基酸序列来预测其空间折叠结构。
The pure prediction problem of a stationary random sequence passing through a linear time-invariant system is discussed.
本文讨论了平稳随机序列通过线性时不变系统后的纯预测问题。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
There is a desired prediction problem but the model must learn the structures to organize the data as well as make predictions.
合适的预测模型虽然已经存在，但是模型在预测的同时还必须能通过发现潜在的结构来组织数据。
There is a desired prediction problem but the model must learn the structures to organize the data as well as make predictions.
通过推测输入数据中存在的结构来创建模型。
This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
本文基于混合学习和集成学习的思想，将这两种方法应用于支持向量机建模技术中，主要解决预测分析问题。
A dynamic prediction method based on process neural networks is proposed for the process forecasting and prediction problem of dynamic system.
针对动态系统过程预测预报问题，提出了一种基于过程神经元网络的动态预测方法。
Firstly, the schedule performance prediction problem in the six statues is described. The plan valued rate method, earned duration method and the earned schedule method are then introduced.
首先描述六种项目状态下项目进度预测问题，系统阐述计划价值率法、挣得工期法和挣得进度法的进度预测方法。
The greatest problem in using intelligence tests for the purpose of prediction is that no dependable criterion of their accuracy exists.
用智力测试来预测的最大问题是没有可靠的标准来衡量它们的准确性。
Basically, accurate prediction and estimation requires the existence of an algorithm, or a step-by-step problem solving procedure with a finite number of well defined steps.
基本上，精确的预测和评估要求一套现有的算法，或者一个拥有有限数目的明确步骤的分步解决问题的程序。
The prediction and forecasting of coal and gas outburst is a complicated and knotty problem.
煤与瓦斯突出预测预报是一个十分复杂而棘手的问题。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Three types of module achieved high accuracy on prediction and can be totally put into practice and can solve problem of financial trouble continuous warning.
三类模型均达到相当的预测准确率，完全可以应用于实践，从而较好地解决了财务困境一年内持续性预警的问题。
Prediction of lowly homological protein secondary structure is still a difficult problem up to now.
低同源蛋白质的二级结构预测至今仍然是一个困难的问题。
The geological prediction of tunnel is an important problem for construction quality and safety, and also a difficult object for engineering geophysics.
隧道地质超前预报关系到隧道工程施工质量和安全，是国内外研究的前缘课题，也是工程地球物理研究中的疑难问题之一。
The occlusion problem can be solved by the position prediction in the process of the tracking of feature points.
特征点的遮挡问题可以通过特征点跟踪过程中对特征点位置的预测得到解决。
Prediction of carbonate reservoirs is a cosmopolitan problem.
碳酸盐岩储层预测一直为世界性难题。
The problem of interval estimation of earthquake prediction is discussed, based on the theory and method of interval estimation of extremum distribution.
在提出极值分布区间估计理论和方法的基础上，讨论了地震预报中的区间估计问题。
In the paper, the problem of freeway incident duration prediction is studied by decision tree method.
利用决策树方法对高速公路事件持续时间预测问题进行研究。
A common problem in software fault prediction is presence of the noise in the data.
软件失效预测中的一个普遍问题是数据中噪声的存在。
Unfortunately, human psychology is such that hasty workers and true believers will always mess around with the problem of earthquake prediction that fascinates them.
遗憾的是，由于心理学上的原因，草率的工作者和诚心实意的信徒总会搞乱使他们着迷的地震预测的问题。
A common problem in software faults prediction is the presence of noise in the data. Neural Networks are robust and have a good noise tolerance.
软件失效预测中的一个普遍的问题是数据中存在噪声，而神经网络具有鲁棒性并对噪声有很强的抑制能力。
A common problem in software faults prediction is the presence of noise in the data. Neural Networks are robust and have a good noise tolerance.
软件失效预测中的一个普遍的问题是数据中存在噪声，而神经网络具有鲁棒性并对噪声有很强的抑制能力。
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