Abstract:This work describes neural network training techniques for enhancing the performance of a onedimensional beam for determining load positions. The system was a distributive system which relied on the detection of changes in the surface properties that can be seen across the surface. The demonstrated distributive system was 400 mm in length. The applied load positions within the range 60 -300 mm could be determined with an average percentage error of 0.2% of the beam length which corresponded to a position error… Show more
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