Designing Micro-Structure Parameters for Backlight Modules by Using Improved Adaptive Neuro-Fuzzy Inference System

Designing Micro-Structure Parameters for Backlight Modules by Using Improved Adaptive Neuro-Fuzzy Inference System

A Taguchi-based genetic algorithm (TBGA) is adopted in an adaptive neuro-fuzzy inference system (ANFIS) to optimize the micro-structure parameters of backlight modules (BLMs) in liquid-crystal displays. The method reduces the number of experiments and accumulates the data that indicate performance q...

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Bibliographic Details
Main Authors: Jinn-Tsong Tsai, Jyh-Horng Chou, Chi-Feng Lin
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Subjects:
ive network fuzzy inference system
backlight module
micro-structure parameter
Taguchi genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/7353127/

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