| 1. | The one with the lowest f cost
具有最小f值的那个。 |
| 2. | The f score for each square , again , is simply calculated by adding g and h together
每个方块的f值，再说一下，不过就是g和h相加。 |
| 3. | Every time you access the open list , you need to find the square that has the lowest f cost
每次访问开放列表时，你都需要找到具有最小f值的方块。 |
| 4. | Our path is generated by repeatedly going through our open list and choosing the square with the lowest f score
我们需要的路径是这样生成的：反复的遍历开放列表，选择具有最小f值的方块。 |
| 5. | Author used spam assassin corpus to test teiresias algorithm and got good precision rate and recall rate and f value
在spamassassin语料上的实验表明运用该算法获得了较好的正确率、召回率和f值。 |
| 6. | You could save the path items as needed , and simply go through the whole list each time you need to find the lowest f cost square
你可以保存所需的路径项目，每次当你需要找到最小f值的方块时，简单的遍历整个列表。 |
| 7. | This can be improved by maintaining a sorted list and simply grabbing the first item off the list every time you need the lowest f - cost square
这个方法可以改进，通过维护一个排序的列表，每次需要最小f值的方块时，简单的抓出第一个项目就可以了。 |
| 8. | With regard to the relationship between physique and urban - rural factors , the f value decreased significantly when family income per capita was taken as a covariate , while the f values slightly decreased also when factors of latitude etc . were taken as covariates
多因素分析讨论时，当协变量家庭人均收入投入后，体格的城乡因素的f值明显变小，而协变量自然环境因素投入后变化却不十分明显。 |
| 9. | Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
进一步深入分析研究发现，本文提出的这种基于主成分的神经网络预报模型，预报精度明显高于传统的逐步回归方法，其主要原因是这种新的预报模型集中了众多预报因子的预报信息，并有效地利用了人工神经网络方法的自组织和自适应的非线性映射能力；而传统的逐步回归方法是一种线性方法，并且逐步回归方法只是根据f值大小从众多预报因子中选取几个预报因子，其余预报因子的预报信息被舍弃。 |
| 10. | On the other hand , edits can also be used to falsify information and give the erroneous impression that a process is under control ; for example , a program output edit may add a spurious " correction " factor to f values which fall outside of the pre - established limits , thus turning an unacceptable value into anue
另一方面，编辑可用来伪造信息，给人以错误的印象，认为工艺受控；例如，输出编辑程序可以把伪造的“正确”因素加到确定的限制f值，然后将不可接受的数值转变成可接受的。 |
