Study of optimization of an LCD light guide plate with neural network and genetic algorithm

Abstract

We demonstrate a nanosecond fiber laser with tunable central wavelengths and narrow spectral bandwidths suitable for high-power amplification. Spectrally narrowband flat-top nanosecond pulses were generated at the fundamental repetition rate of 1.9 MHz in an Yb-doped fiber laser, which could be tuned in central wavelength from 1033 to 1053 nm by changing the nonlinear polarization rotation in the fiber laser cavity. In particular, such flat-top nanosecond pulses could be tuned around 1030 nm to match the gain bandwidth of ytterbium-doped double-clad fibers or 1053 nm to match the maximum gain in Nd-doped phosphate glass. The pulse duration could be changed from 1 to 15 ns by varying the pump power or laser polarization evolution in the cavity. By using an ytterbium-doped single-mode fiber preamplifier and a two-stage large-mode-area Yb-doped double-clad-fiber power amplifier, 280-W average power with pulse duration of 3 ns was obtained at 1034 nm.

A Study of Integrated Optical Design and Optimization for LED Backlight Module With Prism Patterns

“…Most commercial optical software performs well in analysis work; however, during optimization, ray tracing numbers are used, particularly when applied to a backlight module system [17]- [19].…”

Constructing a novel mortality prediction model with Bayes theorem and genetic algorithm

“…The genetic algorithm (GA) can solve the optimization problems in different fields (Li, Fang, & Cheng, 2009a, 2009b, 2009cOh, Jung, & Pedrycz, 2009). Kim combined Bayesian and the genetic algorithm to solve problems with large number of genes and limited numbers of experimental data points.…”

Optical Microstructure Design Optimization for Display Backlighting

“…In 2009, Li et al combined a neural network and realvalued GA to optimize the design of the bottom structure of a light guide plate. In their study, the luminance uniformity reached 92.09% and showed greater accuracy than that of results provided by the modeling software ASAP [2]. In 2010, Yamada et al employed an evolutionary algorithm (EA) to automatically generate a set of Fresnel lenses of varying geometries and densities.…”

“…In 2008, Fan et al applied genetic algorithms to design LED lens in direct type LED Backlight Unit to achieve high uniformity [4]; In 2009, Li et al applied genetic algorithm to optimize the distribution density of the prism pattern to improve the uniformity of the light guide plate [2]. In 2013, Kim et al applied genetic algorithm to numerical model of a planar prism LED luminaire, and to the analysis of the best angle prism [5].…”