过程内的人工数据的有效性对于输入数据的正确性十分关键。
In-process manual data validation is crucial for the correctness of input data.
人工数据和多光谱数据的实验结果表明该算法是非常有效的。
The computer simulation experiments on simulated data and multi-spectral images show the power ability of the algorithm.
采用人工数据和实际商业数据的实验证明该方法能有效地改善传统的聚类效果。
Experiments using artificial data and actual business data testify the validity of this method. It can improve the traditional K-means effect well.
若干标准人脸数据集和人工数据集上的实验表明ILDA在特征提取方面的有效性。
Numerical experiments on ORL facial database and man-made datasets show ILDA achieves good performance in feature extraction.
人工数据与真实数据上的实验表明，改进的算法健壮且有效，在绩效考核上应用成功。
The experiments on the artificial data and real-world data show that the improved algorithm is robust and effective, and the application to the performance evaluation is successful.
塞尺智能测量软件的开发及应用解决了以前手工记录、人工数据计算等效率低下的问题。
Programming the measuring software for feeler gauge figures out the problem of noting and calculating data by hand in feeler gauge measurement.
而目前大部分发电厂化学监督、热力公司运行工作还停留在人工抄表、人工数据分析阶段。
At present, most power plants in the chemical monitoring, thermal companies also remain in the job run manual meter reading, manual data analysis phase.
但是传统集装箱识别方式准确率不高，人工数据采集不仅易出差错，而且花费时间也相对较长。
But the veracity of traditional identification is not high enough, date collection by manual work not only easy to make mistakes but also cost much time.
分析了人工数据采集中对目标所在区域、走向进行取舍的过程，提出了几种可行的半自动采集策略。
Analyzing the course of choosing of the area and tendency at which the object stays in course of collecting data artificially and putting forward some semi-automatic collecting strategy feasibly.
在公开数据集和人工数据集上的实验结果表明，DP算法能快速高效地找到接近于真实聚类中心的数据点作为初始聚类中心。
Experiments on both public and real datasets show that DP is helpful to find cluster centers near to real centers quickly and effectively.
那些拥护通用人工智能的人说，它可以全天候为我们工作，利用所有可用的数据，为许多问题提出解决方案。
AGI could, its advocates say, work for us around the clock, and drawing on all available data, could suggest solutions to many problems.
要做到这一点，可以收集原始数据并人工处理它，也可以使用内置的PD H日志记录函数。
This can be done by either collecting the raw data and processing it manually, or by using the built-in PDH logging functions.
研究人员用所谓的人工神经网络的技术分析数据的模式。
The researchers used a technique called artificial neural networks to look for patterns in the data.
如果是调用活动或人工任务活动，则可以有选择地提供输入数据。
If it is an invoke activity or human task activity, input data can be optionally provided.
您希望在没有人工交互的情况下运行数据收集器，以使其能够在没有任何操作员的情况下自动启动和完成。
You want to run the data collector without human interaction so that it can be kicked off automatically and completed without any operators.
数据挖掘旨在使用统计方法、人工智能和标准的数据库管理技术等等，从大型数据集中抽取模式。
Data mining seeks to extract patterns from large sets of data using, among other things, statistical methods, artificial intelligence, and standard database management techniques.
这些警告提供有用的数据，但是需要采用人工进一步分析。
These alerts provide useful data, but require further analysis by real humans.
当我们建立流程客户端应用程序时，常常希望定位一个特定的流程实例或人工任务，其业务数据满足某个标准。
When building the process client application, it is often desirable to locate a specific process instance or human task, whose business data fulfills certain criteria.
实验数据反映，相比自然光，生产力的波动对人工照明更敏感。
There is a suggestion in the data that productivity was more responsive to changes in artificial than natural light.
最后，它还可以在测试执行过程中帮助数据输入和验证，从而减少人工差错。
Finally, it assists with data entry and verification during test execution to reduce human error.
一旦用户声明了人工任务，就启用字段，用户可以开始输入数据。
Once it is claimed by the user, the fields are enabled and the user can start entering data.
如果是新客户，则需要将客户数据输入到人工任务活动中，并将其添加到注册服务中。
If it is a new customer, the customer data has to be entered in a Human Task activity, and it is added to the registration service.
然后，可以根据时效和访问策略，通过人工手动或自动化数据转移程序，将数据——主要是非结构化的数据——转移至云存储中。
Data — mostly unstructured — could then be relegated to the cloud, either manually or with an automated data mover based on aging and access policies.
在调用服务或人工任务时，它提供流程与相关数据之间的链接。
Basically, it provides the linkage between the process and the related data when services or human tasks are invoked.
很少有人使用人工智能；通常，数据挖掘只是搜索并汇集大型数据集，以查找有用的信息。
Few people work with artificial intelligence; most commonly, data mining simply entails the ingesting of large data sets and searching through them to find information that is useful.
在BusinessProcess ChoreographerExplorer中创建几个业务流程实例之后，现在可以接收并处理与人工任务相关的数据。
After creating a few process instances in Business process Choreographer Explorer, you can now receive and work with the human tasks related data.
对于过程实例和人工任务，可以在BPC数据库或单独的数据库中存储相关数据，这些数据也需要清理。
For process instances as well as for human tasks, there can be related data stored in the BPC database, or in a separate database that requires cleanup. This data may include.
对于新客户，将客户数据(如地址、银行连接等)输入到人工任务活动ProvideCustomerData中(4)。
In case of a new customer, the customer data, such as address, bank connection, amd so forth, is entered in the human task activity ProvideCustomerData (4).
WebSphereProcessServerHTMAPI通过claim()调用返回一个人工任务的当前输入数据。
The WebSphere Process Server HTM API returns the current input data for a human task via the claim() call.
这应该在像人工智能、数据库，和操作系统这样的课程中相当地容易。
This should be reasonably easy in courses like artificial intelligence, database, and operating systems.
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