Analysis of the behavior of a neural network model in the identification and quantification of hyperspectral signatures applied to the determination of water quality

2004 ◽  
Author(s):  
M. C. Cantero ◽  
R. M. Perez ◽  
Pablo J. Martinez ◽  
P. L. Aguilar ◽  
Javier Plaza ◽  
...  
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Network Model ◽  
Neural Network Model ◽  
Hyperspectral Signatures ◽  
Identification And Quantification

Estimation of Polypropylene Melt Index through the Application of Stacked Neural Networks

2011 ◽  
Vol 187 ◽  
pp. 411-415
Author(s):  
Lu Yue Xia ◽  
Hai Tian Pan ◽  
Meng Fei Zhou ◽  
Yi Jun Cai ◽  
Xiao Fang Sun
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Model ◽  
Neural Network Model ◽  
Model Performance ◽  
Measurement Interval ◽  
Melt Index ◽  
Polypropylene Melt ◽  
Single Neural Network

Melt index is the most important parameter in determining the polypropylene grade. Since the lack of proper on-line instruments, its measurement interval and delay are both very long. This makes the quality control quite difficult. A modeling approach based on stacked neural networks is proposed to estimation the polypropylene melt index. Single neural network model generalization capability can be significantly improved by using stacked neural networks model. Proper determination of the stacking weights is essential for good stacked neural networks model performance, so determination of appropriate weights for combining individual networks using the criteria about minimization of sum of absolute prediction error is proposed. Application to real industrial data demonstrates that the polypropylene melt index can be successfully estimated using stacked neural networks. The results obtained demonstrate significant improvements in model accuracy, as a result of using stacked neural networks model, compared to using single neural network model.

Comparison of LSSVM model results with artificial neural network model for determination of the solubility of SO2 in ionic liquids

2020 ◽  
Vol 304 ◽  
pp. 112771 ◽  
Author(s):  
Hadi Mokarizadeh ◽  
Saeid Atashrouz ◽  
Hamed Mirshekar ◽  
Abdolhossein Hemmati-Sarapardeh ◽  
Ahmad Mohaddes Pour
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ionic Liquids ◽  
Network Model ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
Artificial Neural

Voltammetric Determination of Diclofenac in the Presence of Paracetamol and Naproxen by an Artificial Neural Network Model Using a Carbon Paste Electrode

2018 ◽  
Vol 84 (1) ◽  
pp. 195-205 ◽  
Author(s):  
Guadalupe Yoselin Aguilar-Lira ◽  
Juan Manuel Gutiérrez-Salgado ◽  
Alberto Rojas-Hernández ◽  
Jose Antonio Rodríguez-Ávila ◽  
María Elena Páez-Hernández ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Carbon Paste Electrode ◽  
Artificial Neural Network Model ◽  
Voltammetric Determination ◽  
Carbon Paste ◽  
Paste Electrode
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