Development of Prediction Model for Conductive Pattern Lines Generated Through Positive Displacement Microdispensing System Using Artificial Neural Network

In the fabrication of electronic devices, uniform and good quality conductive printed lines are highly desirable. The goal of the present study is to develop a predictive model for conductive pattern lines produced by the microdispensing system. For this purpose, an artificial neural network (ANN) b...

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Vydáno v:	Arabian journal for science and engineering (2011) Ročník 46; číslo 3; s. 2429 - 2442
Hlavní autoři:	Abas, Muhammad, Naeem, Khawar, Habib, Tufail, Khan, Imran, Farooq, Umer, Khalid, Qazi Salman, Rahman, Khalid
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Témata:	Algorithms Artificial neural networks Back propagation networks Conductivity Electronic devices Engineering Feed rate Humanities and Social Sciences Mathematical models multidisciplinary Neural networks Nozzles Parameter identification Prediction models Process parameters Research Article-Mechanical Engineering Science Microdispensing system Signal-to-noise ratios Conductive pattern lines Prediction model Artificial neural networks
ISSN:	2193-567X, 1319-8025, 2191-4281
On-line přístup:	Získat plný text
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