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。
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。
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。
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。
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。
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。
As a basic work to solve the problem of water environment, the water environment evaluation and prediction is a significant work to protect the water environment.
水环境评价与预测作为解决水环境问题的基础性工作，在水环境保护中具有重要的意义。
The second problem, prediction of subcellular location, is the core content of this thesis.
第二个问题是论文的核心内容，论文研究的是亚细胞定位点预测。
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。
This paper analysized the estimation problem on coefficient of Brown single parameter index smooth economic prediction model followed by giving a complete attestation.
研究了有关布朗单一参数指数平滑经济预测模型的系数的估计问题，整理并给出了比较完整的证明。
After analyzing the characteristic of the early warning problem, we merged many kinds of soft computing methods to construct the prediction model.
因此本文从分析财务预警问题的特点出发，融合了智能软计算的多种方法建立了完整的预测模型。
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。
This paper considers the problem of financial prediction based on BP neural networks.
本文研究基于BP神经网络的证券市场预测问题。
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。
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。
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。
But the complexity of the problem, the indefinite of the factors and especially the limits of the predicting method made large error between the prediction value and the reality.
但由于问题本身的复杂性、影响因素的不确切性、特别是预测方法的局限性，使得目前需水预测误差较大。
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。
From the perspective of functional analysis, the prediction of the aeroengine exhaust gas temperature could be seen as a functional approximation problem in nature.
从泛函分析的角度出发，将航空发动机排气温度预测问题转换为一种泛函逼近问题。
Distribution and prediction of dynamic traffic information is the key problem of ITS.
动态交通信息的发布与预测是ITS的关键所在。
The key problem of research on prediction of losses caused by natural disasters is disaster quantification.
自然灾害损失预测研究的核心问题是灾害定量化问题。
This paper adopts the theoretical method to research the problem on the performance prediction and the design of the propeller operating in ship wake systematically.
本文采用理论方法系统地研究了非均匀流场中螺旋桨性能预报和理论设计问题。
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。
The ab initio prediction of protein structure is to solve a global optimization problem per se, in which the first step is to build a mathematical model.
利用氨基酸序列预测蛋白质结构可以归结为一个复杂系统的全局优化问题，建立一个合理的预测模型是关键性的第一步。
The ab initio prediction of protein structure is to solve a global optimization problem per se, in which the first step is to build a mathematical model.
利用氨基酸序列预测蛋白质结构可以归结为一个复杂系统的全局优化问题，建立一个合理的预测模型是关键性的第一步。
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