A Method for Applying Antipatterns and Neural Networks to Automate Detection of Errors in Designs of Mechanical Constructions

摘要

Proposed method allows for early detection of mistakes in designs of mechanical constructions. It is based on a numerical classification of a symbolic representation of construction's features against a set of defined antipatterns (known, inconect, repeatable data patterns). We present an approach to identify antipatterns described using a symbolic language KXML and a method of intelligent quality assessment enabling calculation of the similarity of the tested element with the antipattern data set. Additionally, we highlight selected properties of numerical models directly supporting analysis of the structure of mechanical constuctions.