Ensure that planed and unplanned validation, revalidation and calibration activities are timely carried out and documented.
确保所有的计划验证、非计划验证、再验证和校验活动及时的执行并且文档化。
Through parameter calibration and model validation, model can be adapted to morphogenesis and LAI simulation for different varieties and management practice.
通过对模型参数的校正和核实，使模型适应于不同类型品种的形态发生和LAI动态模拟。
The main requirements for cm operational conceptual hydrologic model are function development, model calibration, and validation followed by production of forecast runs and analysis of results.
功能改进，模型率定，模型预报的验证以及其结果分析是应用概念水文模型所需要的几个主要部分。
Marine optical buoy is of important value in terms of calibration and validation of ocean color remote sensing, scientific observation, coastal environment monitoring, etc.
海洋光学浮标在水色遥感现场辐射定标和数据真实性检验、海洋科学观测、近海海洋环境监测等方面有重要应用价值。
Monthly discharge was simulated based on the optimal parameter sets for both calibration and validation periods, and compared with observed values for effectiveness evaluation.
根据最优参数值模拟了率定期和验证期兴山水文站的月径流量，并与实际观测值进行了对比评估。
Meanwhile, the factors affecting the calibration model were studied and the validation was done by the actual sample.
同时对影响模型的因素进行了研究，并用实际样品进行了验证。
These calibration models can meet the need for quick analysis of air-dried and ensiled stover quality by external validation.
可满足生产上玉米秸秆风干和青贮样品质快速分析的需要。
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。
According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.
针对传统的畸变图像校正方法，其所建立的畸变数学模型，不仅求解畸变参数复杂、计算量大，且存在很大的数值计算误差的问题，提出了一种基于神经网络的畸变图像校正方法。
According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.
针对传统的畸变图像校正方法，其所建立的畸变数学模型，不仅求解畸变参数复杂、计算量大，且存在很大的数值计算误差的问题，提出了一种基于神经网络的畸变图像校正方法。
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