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  <title><![CDATA[FOREST - An Expert System for Automatic Test Equipment]]></title>
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  <description><![CDATA[This paper describes FOREST, an expert system for fault isolation and diagnosis in the Automatic Test Equipment (ATE) domain. Current ATE systems can correctly handle 90 to 95 percent of faults, but the residue accounts for a considerable cost in terms of equipment downtime and the human expert's time.  FOREST is an attempt to handle the residue of hard problems with current expert systems techniques. In particular, the incorporation of an AI approach allows us to handle two serious problems ...]]></description>
  <dc:date>1984-12-01</dc:date>
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