Knowledge-based Systems for Industrial Control by J. McGhee, M.J. Grimble, O. Mowforth
By J. McGhee, M.J. Grimble, O. Mowforth
Heritage for knowledge-based keep an eye on: Holistic methods in knowledge-based method keep watch over; creation to knowledge-based platforms for technique keep watch over; easy idea and algorithms for fuzzy units and good judgment; wisdom engineering and approach keep watch over. man made intelligence concerns: Cognitive versions from subcognitive abilities; a assessment of the techniques to the qualitative modelling of complicated platforms; fixing technique engineering difficulties utilizing synthetic neural networks; parallel processing structure for real-time regulate
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Extra info for Knowledge-based Systems for Industrial Control
Recently, however there have been encouraging signs that expert systems are "coming of age". The tools are greatly improved, the knowledge acquisition process is a little better understood and there is now a general awareness of the critical factors involved in choosing an area for expert systems exploitation. 2. WHAT IS KNOWLEDGE ENGINEERING ?
32 Introduction to knowledge-based systems The system works with a propagate-and-check cycle. Extase is activated when a process alarm signal is fired. This generates a first hypothesis. They hypothesis checks its own validity by checking the expected data against the real process data measured. If the hypothesis fails the test, then the changes in the data in the meantime are observed and a new hypothesis generated. If a hypothesis does not lead to a successful diagnosis, the system can backtrack to generate other hypotheses.
INTRODUCTION Knowledge engineering is the term used to describe the process of building knowledge based systems. When the knowledge is derived from a human expert such systems are often called "expert systems". The processes involved in knowledge engineering have some similarities with those of systems analysis. In both cases the system designer is trying to extract knowledge from human beings and processes in order to produce an automated system. It is therefore not surprising that some of the ideas of software engineering have been borrowed and adapted for knowledge engineering.