Process Control - determine the best control settings for a plant. Complex physical and chemical processes that may involve interaction of numerous (possibly unknown) mathematical formulas can be modeled heuristically using a neural network.
Quality Control - predict the quality of plastics, paper, and other raw materials; machinery defect diagnosis; diesel knock testing, tire testing, beer testing.
Input data: product/part/machinery characteristics, quality factor.
Temperature and force prediction in mills and factories
Input data: previous values of temperature, force and other characteristics of mills and factories.
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