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An expert system to automate the classification of parts on a single system design documentation

Abstract

An expert system to automate the classification of parts on a single system design documentation

I.V. Krysova

Incoming article date: 30.10.2013

Modern CAD systems now allow automate most of the stages of design and technological preparation of production . But there is a number of routine procedures. This article is about the details classification operation analysys .
 A review of existing solutions has shown that there are two ways to classify the details. The first - a “manual” characteristics of the classifier, assignment. This is the major method. The second is the expert system "Klassifikator" from the AsconCo., which is based only on the verbal description of the parts and the user selected one of parts from the existing. So that the function of user is to provide the recognition of images patterns.  These methods of pattern recognition  systems are successfully solve complex image recognition task . Analysis of methods of recognition led to the selection of the neural network method for classification of items.
We want you to use expert system consists of a Hamming neural network emulator and the semantic model of knowledge representation with direct output to solve the problem of classification of parts.
This combination of neuro-cybernetics and information approach to the creation of an expert system can either automatically determine a part characteristic by its image , or in a semi-automatic mode, prompting the missing information from user.  

Keywords: expert system, pattern recognition, computer-aided design, neural network classification characteristic details.