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21 November 1995 Learning control of optical lens machining
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Abstract
Taking account of different influences of pressure, rocker amplitude and rocker center angle upon polishing quality for optical lens, a fuzzy self-learning algorithm based on semantic inference is developed and a prediction system is built up with the adjustment of membership function. The introduction of the intellective control makes the polishing process be less influenced by other technological parameters than the conventional method.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming-Yuan Liu, Chun-Rong Ji, Ji-Ning Xu, and Lin-Sen Yang "Learning control of optical lens machining", Proc. SPIE 2596, Modeling, Simulation, and Control Technologies for Manufacturing, (21 November 1995); https://doi.org/10.1117/12.227226
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