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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Bibliographic Details
Published in:	Arabian journal for science and engineering (2011) Vol. 46; no. 3; pp. 2429 - 2442
Main Authors:	Abas, Muhammad, Naeem, Khawar, Habib, Tufail, Khan, Imran, Farooq, Umer, Khalid, Qazi Salman, Rahman, Khalid
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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