Overview
Model verification and validation is a process used to assess the accuracy and reliability of a model. It involves comparing the results of the model against real world data collected from observations of the system. By doing this, it can be determined if the model is accurate or not, and to what extent its results can be used to make educated decisions about the system being modelled. This process is essential for validating and refining models, as it helps to ensure that the model is providing reliable and useful information. Proper model verification and validation can be used to improve the decision-making process and increase the accuracy of models, which is why it is so important.
Research published in this journal
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