Application of an LM-neural network for establishing a prediction system of quality characteristics for the LGP manufactured by CO2 laser

作者：Kuo Chung Feng Jeffrey^*; Tsai Wei Lun; Su Te Li; Chen Jian Liang

来源：Optics and Laser Technology, 2011, 43(3): 529-536.

DOI：10.1016/j.optlastec.2010.07.010

• CO2 laser
• Taguchi method
• Levenberg-Marquardt algorithm

The light guide plate (LGP) is a part of a backlight module which evenly spreads light sources in a liquid crystal display (LCD) to eliminate total reflection Light is transmitted into the LGP where it is reflected scattered and refracted due to the microstructure which allows light to uniformly enter the panel Therefore the design of an LGP micro-structure and processing mode is important for light transmission in an LCD This study used a CO2 laser to fabricate a polymethyl methacrylate (PMMA) LGP applied a Taguchi orthogonal array to set up the experiment and utilized the data to establish a prediction system Backpropagation (BP) neural network and the Levenberg-Marquardt (LM) algorithm were integrated to establish a prediction system for LGP processing by CO2 laser with the controlling factor as the input parameter and quality characteristics as the out

• 出版日期2011-4