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Abstract:
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Expert system are computer programs designed to store
the knowledge of an expert in a form non-experts can use to
solve problems. Expert systems provide a means of storing
information than can be lost due to illnesses, retirement or
termination. Expert system have been proven useful in many
applications; however, they are difficult to create. The
most difficult pha~e of system development is knowledge
acquisition. Knowledge acquisition i~; the process of
recording the knowledge of the expert in a form the computer
can use. Objective induction, subjective induction and
neural network technology were used to automate the
knowledge acquisition phase of expert system development.
Four applications \;ere chosen involving the carding,
drawing, and spinning mechanical maintenance and yarn grade
prediction. The technologies were ab~e to significantly
reduce application time and provided the opportunity for
creating expert sy~tems that could learn from raw process
data without any programming.
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