Αποτελέσματα Αναζήτησης
Verification and validation (V&V) of simulation models are discussed in this paper. Different approaches to deciding model validity are described and a graphical paradigm that relates V&V to the model development process is presented and explained.
- Sign In
Sign In - Verification And Validation Of Simulation Models:...
- Authors
Authors - Verification And Validation Of Simulation Models:...
- Citations
Citations - Verification And Validation Of Simulation...
- Metrics
Metrics - Verification And Validation Of Simulation Models:...
- Figures
Figures - Verification And Validation Of Simulation Models:...
- An Advanced Tutorial
An Advanced Tutorial - Verification And Validation Of...
- Contact & Support
This question is for testing whether you are a human visitor...
- Help
This question is for testing whether you are a human visitor...
- Sign In
In the context of computer simulation, verification of a model is the process of confirming that it is correctly implemented with respect to the conceptual model (it matches specifications and assumptions deemed acceptable for the given purpose of application).
8 Ιαν 2011 · Four different approaches to deciding model validity are described; two different paradigms that relate verification and validation to the model development process are presented; various...
7 Δεκ 2012 · Verification and validation of simulation models are discussed in this paper. Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
This paper discusses verification and validation (V&V) of simulation models. V&V are concerned with determining whether a model and its results are “correct” for a specific use or purpose.
19 Δεκ 2017 · Verification and validation of simulation models are discussed in this paper. Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
Extrapolates principles and methods, showing ties to applications in computer science, engineering and biomedicine. Provides detailed case studies, datasets and step-by-step examples to help readers see how the material is integrated.
