The main purpose of conversion and validation is to ensure values have been properly sanitized before updating model data.
转换和验证的主要目的是确保在更新模型数据之前已经经过了正确的无害处理。
The next step is to identify and model the data elements such as incoming orders, manufacturing data, and validation data.
接下来的步骤是确定数据元素并且为其建模，比如到来的订单，生产数据和验证数据。
Then, we'll show you how to utilize JSF conversion and validation to ensure that the collected data is appropriate for the model.
然后，我们将展示如何利用jsf转换和验证确保收集的数据对于模型是适合的。
Using ValidationRule keeps validation processing separate from the data model and ViewControllers.
使用ValidationRule使验证处理同数据模型和ViewController分隔开。
It makes sense, then, that conversion and validation processes happen before component data is bound to your backing bean model in the update model data lifecycle phase.
因此，在更新模型数据生命周期阶段中，在组件数据被绑定到backingbean模型之前进行转换和验证处理是有道理的。
For the Rich Web Application Backplane, you will use an XML data model, where the model consists of the core data, validation system, constraints, and actions.
对于RichWebApplication Backplane，您将使用XML数据模型，其中模型包括核心数据、验证系统、约束和动作。
This release adds support for new SQL Server 2008 data mining features including holdout and cross-validation, a new Document Model wizard, and improvements to existing wizards.
此版本添加了新的SQLServer 2008数据挖掘功能支持，包括维持和交叉验证、新的文档模型向导和对现有向导的改进。
This approach lets you perform custom validation of data fields and associate custom templates to tables or data fields in the data model.
这个方法可让您执行资料栏位的自订验证，以及关联自订范本与资料模型中的资料表或资料栏位。
Last through the model data and real data processing, validation of the methods in dealing with converted-wave residual static correction is effective.
最后通过对模型数据和实际数据的处理，验证了方法对于处理转换波剩余静校正是有效果的。
Shows how to customize and extend data validation in the data model.
示范如何自订并扩充资料模型中的资料验证。
Shows how to customize and extend data field validation in the data model.
说明如何自订及扩充资料模型中的资料栏位验证。
The results showed a good agreement between the isotherm determined by frontal analysis and inverse method, and the adsorption data which confirmed the validation of the model selected.
实验结果表明：采用前沿分析法和逆向法确定的吸附等温线与吸附数据吻合很好，验证了所选模型的合理性。
Testing results indicate that the error between calculated and tested data doesn't exceed 5%. The correctness and validation of the simulation model is demonstrated.
实验表明，仿真结果与实验值误差不超过5%，从而验证了仿真模型的正确性和有效性。
According to mass movement, self-organization and specific hub behavior comparison, experiential data, theory description and field data were used for the model verification and validation.
应用数据对比方法，从群体行为、自组织行为与特定行为特性三个方面进行了模型验证。
The validation with different data sets involving variety, sowing date, and nitrogen application rate showed that this model had a good predictability and practicability.
通过不同品种氮肥处理试验建立模型，利用不同品种播期试验资料对模型进行了初步检验，表明模型具有较好的预测性和适用性。
Then, the calibration and validation of TOPOG model was done using the meteorological and hydrological data measured at the outlet of the watershed in 2001 and 2002.
然后，用祁连山排露沟小流域2001年、2002年的气象和水文数据对改进后的TOPOG模型进行率定和检验。
The network is trained by clustering algorithm. 120 sets of data were used for model building and validation.
对输入参数作了详细的分析、筛选，并运用聚类算法对该模型进行了训练。
The network is trained by clustering algorithm. 120 sets of data were used for model building and validation.
对输入参数作了详细的分析、筛选，并运用聚类算法对该模型进行了训练。
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