Sentence examples for output datasets from inspiring English sources

ANNs are capable of identifying complex, nonlinear relationships between input and output datasets.

The membership functions to transform fuzzy output datasets into crisp outputs are constant values (for Takagi-Sugeno approach).

ANN is a flexible mathematical structure that is capable of identifying complex nonlinear relationships between input and output datasets.

Consequently, a set of if then rules will be constructed, which relates the input and output datasets.

Fuzzy rules: They are simple IF-THEN structures to control the fuzzy output datasets (e.g., transmission power adaptation as very negative, negative, etc).

The surface albedo, the surface temperature, the atmospheric pressure and the vertical wind are extracted from the output datasets for the control and the perturbed run.

Z is the fuzzy output dataset.

The output dataset comprises a mixture of mtDNA reads and nuDNA reads.

Any one model accepts as input a dataset and executes to completion to generate an output dataset.

The output dataset contained no missing values since all spot areas were present, and quantified in all gels.

For example, each PredictProteinConsequence component was defined with the following two input datasets: 1) Patient_Calledt_DNA_Variant_File and 2) Transcript_File and the output dataset Predicted_Protein_Consequence (Fig.  2b).