Features
Labeled Data Utilization
An interactive interface that helps users collect data from experiments or simulations to assemble a labeled data set
Enhanced User Accessibility
An easy to use application for design optimization and data analysis without any requirement of background knowledge
Advanced Design Techniques
Supports state-of-the-art AI-based design techniques (metamodeling/optimization/data analysis)
Comprehensive Report Generation
Automatically generates a data-storytelling capable high quality design report in Excel format
Effects
Wider accessibility
Perform optimization and data analysis without the need of extensive background or expertise.
Man-hour reduction
Perform optimization, analyze data, and generate a report with a single click of a button.
Archive know-how through design guides
Users can gather expertise with quantified data instead of depending on experiences as design guides are provided for result analysis.
Engineering perspective data utilization
Establish a response prediction process using PIDOTECH’s machine learning techniques on simulation or experiment data.
Applications
- Optimization result analysis : A summary of the optimization result (objective improvements and constraint feasibilities).
- Contribution analysis : Contribution of design variables to the optimal solution.
- Correlation analysis : Analysis of correlation between responses about the change of design variables.
- Design sensitivity analysis : Sensitivity of each response to the change of design variables about the entire design space in terms of improvement or worsening.
