CLUSTERT - A simulation-based expert
Article Abstract:
Cluster analysis consists of applying statistical and heuristic methods in an attempt to discover the group composition of a data set. Users of traditional clustering software often find non-intelligent packages difficult to use because of the many parameters that must be specified before an analysis can begin; these include a distance or similarity metric, a method for stopping group amalgamation or division, and a particular clustering algorithm. CLUSTERT is an expert system for solving cluster analysis problems that was developed because of this difficulty. Unlike most expert systems, however, CLUSTERT is primarily based on knowledge generated by simulation experiments. The system also provides suggestions and an intelligent environment for conducting additional simulations that may reinforce. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1989
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Dynamic process plant simulation and scheduling: an expert systems approach
Article Abstract:
The secure operation of a complex industrial process, such as a Steelmaking Meltshop or Nickel Smelter, depends almost entirely on a harmonic working relationship between the human operator and the real time process control environment. The introduction of sophisticated real time monitoring systems and faster than real time decision making modules, requires a new approach to dynamic process plant simulation, scheduling and production optimization under varying operating constraints. Based on the proven Expert Systems Methodologies of Knowledge Engineering and Rule-Based Logistics, The ADSI Scheduling Advisor has been successfully implemented on the shop floor of several major base metals producing facilities. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1991
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