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Applied Artificial Intelligence
An International Journal
Volume 23, 2009 - Issue 2
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Original Articles

MODELING OF THIN FILM PROCESS DATA USING A GENETIC ALGORITHM-OPTIMIZED INITIAL WEIGHT OF BACKPROPAGATION NEURAL NETWORK

Byungwhan Kim Department of Electronic Engineering, Sejong University, Seoul, KoreaCorrespondence[email protected]
,
Hwajune Lee Department of Electronic Engineering, Sejong University, Seoul, Korea
&
Donghwan Kim School of Mechanical Design & Automation Engineering, Seoul National University of Technology, Seoul, Korea
Pages 168-178 | Published online: 04 Feb 2009

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Read on this site (1)

Wojciech Paszkowicz. (2013) Genetic Algorithms, a Nature-Inspired Tool: A Survey of Applications in Materials Science and Related Fields: Part II. Materials and Manufacturing Processes 28:7, pages 708-725.
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Articles from other publishers (4)

Sarita Das, Debi Prasad Das, Chinmaya Kumar Sarangi & Bhagyadhar Bhoi. (2018) Estimation of hydrogen flow rate in atmospheric Ar:H2 plasma by using artificial neural network. Neural Computing and Applications 32:5, pages 1357-1365.
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Erhan Kayabasi, Savas Ozturk, Erdal Celik, Huseyin Kurt & Erol Arcaklioğlu. (2018) Prediction of nano etching parameters of silicon wafer for a better energy absorption with the aid of an artificial neural network. Solar Energy Materials and Solar Cells 188, pages 234-240.
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S. Y. El-Bakry, El-Sayed El-Dahshan & M. Y. El-Bakry. (2011) Total cross section prediction of the collisions of positrons and electrons with alkali atoms using Gradient Tree Boosting. Indian Journal of Physics 85:9, pages 1405-1415.
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Zhijun Chen. (2009) Optimization of Neural Network Based on Improved Genetic Algorithm. Optimization of Neural Network Based on Improved Genetic Algorithm.

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