Using Artificial Neural Network for Predicting Impurity Concentration in Solid Diffusion Process under Insufficient Input Parameters
Joint Authors
Mansour, Mohammad A.
Muslih, Iyad M.
Ramadan, Saleem Z.
Source
Advances in Mechanical Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
An ANN model is proposed to predict the impurity concentration in solid diffusion process when the diffusion coefficient is not known using back-propagation learning technique based on insufficient data for analytical solution.
The proposed model was very competitive against the analytical method as the results showed high-performance results with minimal amount of error comparing to the analytical method.
Moreover, the proposed ANN model can be used where the analytical methods cannot as in some situations where the diffusion coefficient is not available
American Psychological Association (APA)
Muslih, Iyad M.& Mansour, Mohammad A.& Ramadan, Saleem Z.. 2011. Using Artificial Neural Network for Predicting Impurity Concentration in Solid Diffusion Process under Insufficient Input Parameters. Advances in Mechanical Engineering،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-469801
Modern Language Association (MLA)
Muslih, Iyad M.…[et al.]. Using Artificial Neural Network for Predicting Impurity Concentration in Solid Diffusion Process under Insufficient Input Parameters. Advances in Mechanical Engineering No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-469801
American Medical Association (AMA)
Muslih, Iyad M.& Mansour, Mohammad A.& Ramadan, Saleem Z.. Using Artificial Neural Network for Predicting Impurity Concentration in Solid Diffusion Process under Insufficient Input Parameters. Advances in Mechanical Engineering. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-469801
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469801