Abstract
The operating window (OW) is the range between two performance limit thresholds if a system has a binary-type performance. Paper feeder design is a typical problem of the OW method. The wider OW, the higher performance of the system is. This study uses an artificial intelligent approach to optimize the OW design of a paper feeder. The approach employs an ANN to construct the response function model (RFM) of the OW system. A novel performance measure (PM) is developed to evaluate the OW responses. Through evaluating the PM of the predicted OW responses, the best control factor combination can be obtained by annealing simulated (SA) algorithm. An example of a paper feeder design is analyzed to confirm the effectiveness of the approach.
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Chang, HH., Yen, JY., Lin, TC. (2011). Parameter Design for Operating Window Problems: An Example of Paper Feeder Design. In: Zhou, M., Tan, H. (eds) Advances in Computer Science and Education Applications. Communications in Computer and Information Science, vol 202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22456-0_11
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DOI: https://doi.org/10.1007/978-3-642-22456-0_11
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