A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis

2018 ◽  
Vol 610-611 ◽  
pp. 1038-1046 ◽  
Author(s):  
Aleksandra Šiljić Tomić ◽  
Davor Antanasijević ◽  
Mirjana Ristić ◽  
Aleksandra Perić-Grujić ◽  
Viktor Pocajt
Keyword(s):  
Neural Network ◽  
Surface Water ◽  
Dissolved Oxygen ◽  
Oxygen Content ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Significance Analysis ◽  
Polynomial Neural Network ◽  
Linear Polynomial ◽  
Non Linear

Intelligent Numerical Manipulation of Micrometer-Scale Emulsions Using Polymer Confinement

2013 ◽  
Vol 813 ◽  
pp. 431-434 ◽  
Author(s):  
Li Guo Zhang ◽  
Le Xun Xue ◽  
Pei Yuan He ◽  
Yuan Ming Qi ◽  
Yu Min Lu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Material Science ◽  
Linear Models ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Linear Modeling ◽  
Artificial Neural Network Modeling ◽  
Non Linear ◽  
Micrometer Scale

The manipulation of emulsions at micrometer-scale is a challenging topic for industrial application, especially for monodisperse microemulsions production. The development of material science and afterwards the creation of polymer confinement proposed efficient devices for micrometer scale emulsions fabrication. In this work, the flow regime of emulsion generation was studied to depict numerical manipulation of micrometer-scale emulsions through biomicrofluidic technology. At first, correlation analysis between experiment conditions and results were conducted, then different linear modeling and non-linear modeling, including Artificial Neural Network Modeling (NNM) technology, were performed to characterize the emulsion variation. Both models can well manipulate emulsion variation. Compared with linear modeling, non-linear models ameliorate the performance on the manipulation of micrometer-scale emulsion.

Neural network modeling of dissolved oxygen in the Gruža reservoir, Serbia

2010 ◽  
Vol 221 (8) ◽  
pp. 1239-1244 ◽  
Author(s):  
Vesna Ranković ◽  
Jasna Radulović ◽  
Ivana Radojević ◽  
Aleksandar Ostojić ◽  
Ljiljana Čomić
Keyword(s):  
Neural Network ◽  
Dissolved Oxygen ◽  
Network Modeling ◽  
Neural Network Modeling
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