Tech Tips

January 16, 2020

Data Fusion vs Mixture of Approximators to Handle Training Datasets of Low and High Fidelity

This tech tip demonstrates some aspects of Data Fusion tool and MoA technique capabilities to handle training datasets of low and high fidelity.

Yulia Bogdanova, Application Engineer, DATADVANCE

January 9, 2020

Automated Determination of the Validity Domain for Approximation Models

In this tech tip, we describe the usage of the InputDomainType option, which allows limiting the input design space to avoid incorrect function predictions in the area outside the training domain.

By Yulia Bogdanova, Application Engineer, DATADVANCE

November 18, 2019

Mixture of Approximators for Model Improvement

This tech tip describes the features, possible applications and benefits of the Mixture of Approximators technique available in pSeven.

By Yulia Bogdanova, Application Engineer, DATADVANCE

August 23, 2019

The Role of Validation Type in Model Accuracy Estimation

Comparison and recommendations on using different model validation methods: validation on test sample, training sample and internal validation

Yulia Bogdanova, Application Engineer, DATADVANCE

July 10, 2019

Initial Sample in the Design Space Exploration and Uncertainty Quantification Studies

Scenarios and benefits of using the initial sample (optional input data) in the Design Exploration and Uncertainty Quantification blocks

By Yulia Bogdanova, Application Engineer, DATADVANCE

April 18, 2019

Video Tutorials to Get Started with pSeven

Watch the series of self-paced video tutorials and start exploring your designs even with no previous experience with pSeven!

By Yulia Bogdanova, Application Engineer, DATADVANCE

March 12, 2019

Adaptive Design of Experiments in pSeven

In this tech tip, we showcase the key features of advanced Adaptive design technique used for Design of Experiments.

By Yulia Bogdanova, Application Engineer, DATADVANCE

January 15, 2019

Parallelization in pSeven: Design Space Exploration Batch Mode

Overview of an alternative Batch mode in Design Space Exploration applied to parallelize the 'black box' execution in order to reduce overall computational time.

By Alexis Pospelov, Senior Researcher, DATADVANCE

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Blog

Data Fusion vs Mixture of Approximators to Handle Training Datasets of Low and High Fidelity

Automated Determination of the Validity Domain for Approximation Models

Mixture of Approximators for Model Improvement

The Role of Validation Type in Model Accuracy Estimation

Initial Sample in the Design Space Exploration and Uncertainty Quantification Studies

Video Tutorials to Get Started with pSeven

Adaptive Design of Experiments in pSeven

Parallelization in pSeven: Design Space Exploration Batch Mode

Contact Information