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Modelling input test signals and defining reference responses to the test inputs.
The MBD approach to the development of measurement algorithms consists of five steps: 1. Modelling input test signals and defining reference responses to the test inputs 2.
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Artificial Neural Networks (ANNs) are useful in modelling input-output relationships learning directly from observed data.
// Add the model input.
Definitions of the model input parameters.
Table 1 shows the model input parameters and their sources.
Fig. 2 Data centres for model input data.
The interface helped in watershed parameterization and model input.
These model input parameters are summarised in Table 1.
The other model input parameters are shown in Table 2.
The model input data are summarised in Table 1.
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