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First, in order to derive sufficiently representative statistics for extracting design rules rather large datasets of molecules and activities are needed.
This paper aims at generating as well as extracting design strategies for a real world problem using an evolutionary learning classifier system.
The resulting combined model serves to provide a complete analytical overview of the multi-parametric design space and is suitable for the fast assessment of existing designs, for implicit or explicit (direct) gear design, for extracting design guidelines, and for design optimisation.
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This insight allows designers to extract design requirements for technology development and process system integration.
The knowledge-based system we developed allows engineering designers to search and select a particular biological system and extract design strategy without much biological knowledge.
Most importantly, we use our results to extract design recommendations for improving avatar-driven applications.
Inspired by this idea, a novel approach is proposed to extract design patterns in the CAD field.
The analysis is applied to wetlands data collected in North America by the US EPA in order to extract design criteria for BOD removal.
These differences make it difficult to extract design principles used in nature for building materials with properties such as high strength, unusual morphologies, or uncommon phases.
The computational method extracts design knowledge from an expanding online design library in the form of procedural rules, and provides these rules as the building blocks for solving new problems.
As possible directions for future research this suggested framework can provide an insight into the design tendencies of designers and also be used as a reference model for intelligent CAD systems with an extracted design history-based knowledge database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com