可是，普适性智力因子其实也能预测工作业绩，并且在很多内容复杂的工作业绩的预测方面，它甚至要比其他任何单独指标(如教育水平或工作经验)更能说明问题。
But general mental ability also predicts job performance, and in more complex jobs it does so better than any other single personal trait, including education and experience.
有时候可以根据问题域的理论知识预测复杂性，但是在编写代码时，又会产生新的约束和机会，这些实际上是无法预测的。
You can sometimes predict complexity based on speculative knowledge of the problem domain, but writing code creates new constraints and opportunities that are virtually impossible to predict.
五族非平凡群具有复杂性和对称性的特例，也更加难于预测。其中复杂部分的细节问题已经困扰了人们近120年。
The five non-simple groups—dubbed“exceptional” in their complexity and symmetry—are harder to envisage and, for almost 120 years, the details of the mostintricate of these have lain beyond reach.
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。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
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.
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。
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.
针对现代复杂战场环境下装备保障的随机性影响因素，提出用灰色预测解决装备保障中备件库存的预测问题。
Aiming at the random factors to equipment support at complex battlefield environment nowadays, introduce to use gray theory to solve the prediction of spare parts inventory during equipment support.
对于此类受限控制问题，模型预测控制可以取得满意效果，但在线优化的复杂性又阻碍了算法在实际中的推广。
Model predictive control can solve such problems, but the complexity of the online optimization makes it difficult to implement.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
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