Sentence examples for data and validated the from inspiring English sources

The neural network is successfully trained by the known data and validated the unexposed.

So we developed an estimation model using a new vegetation index VIPD that reflects all information of hyper-multispectral data, and validated the model using Landsat/TM data.

Finally, we trained a PPN model using a 2005 version of Lexi-comp data and validated the prediction performance of PPN using both Lexi-comp 2010 and SIDER 2012 as reference standards.

To investigate the impact of copy number imbalances on the gene expression levels of affected genes, we performed also an expression array analysis to combine RNA and DNA level data and validated the most interesting result by quantitative RT-PCR analysis.

The simulations correspond well to the experimental data and validate the model, which enables the prediction of buckling, necessary when designing thin TRC shells.

Anyone can participate in a public blockchain at any level, i.e., anyone can read a transaction record as well as write data and validate the transactions (also referred to as "mining") in exchange for a given cryptocurrency, without needing any permission or providing any identification.

This study uses complementary gas sorption and mercury thermoporometry experiments that were fully serially-integrated with porosimetry to provide additional information to improve the interpretation of the basic mercury porosimetry data and validate the pore sizes obtained from it.

As single trees are assumed to be prone to errors, RFR builds many regression trees (i.e. a forest) from random subsets of the input data and validates the results on the withheld data.

Prior to locking the database, a data review meeting will be planned in order to review individual data and validate the Statistical Analysis Plan (SAP).

Our simple methodology thus demonstrates an alternative way of calculating protein distances using more sequence data, and validates the current proposed relationship of four genomes.

One round of cross-validation involves partitioning a sample of data into complementary subsets, performing the analysis on one subset (training set, 90% of the data), and validating the analysis on the other subset (testing set, 10% of the data).