An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process

The rapid rise of flexible AMOLED displays has prompted manufacturers to advance technologies to meet growing global demand. However, high costs and quality inconsistencies hinder industry competitiveness and sustainability. This study addresses these challenges by developing an intelligent optimiza...

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Vydáno v:	Mathematics (Basel) Ročník 13; číslo 13; s. 2050
Hlavní autoři:	Chen, Wen-Chin, Ngo, An-Xuan, Zhong, Jun-Fu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.07.2025
Témata:	Active matrix displays Algorithms AMOLED Automation Back propagation networks BPNN Design Efficiency Environmental sustainability Etching etching process FMM Genetic algorithms Manufacturing Mathematical optimization Mutation Neural networks Optimization Organic light emitting diodes Parameter identification Particle swarm optimization Process controls Process parameters Product quality Production costs Production processes Propagation PSO-GA Soft computing Taguchi method Taguchi methods Variance analysis
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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