Artificial Neural Network Processing of Stripping Analysis Responses for Identifying and Quantifying Heavy Metals in the Presence of Intermetallic Compound Formation

1997 ◽  
Vol 69 (13) ◽  
pp. 2373-2378 ◽  
Author(s):  
Helen Chan ◽  
Alexander Butler ◽  
David M. Falck ◽  
Michael S. Freund
Keyword(s):  
Neural Network ◽  
Heavy Metals ◽  
Artificial Neural Network ◽  
Intermetallic Compound ◽  
Compound Formation ◽  
Stripping Analysis ◽  
Intermetallic Compound Formation ◽  
Artificial Neural ◽  
Network Processing

Artificial neural network-based surrogate modeling of multi-component dynamic adsorption of heavy metals with a biochar

2018 ◽  
Vol 6 (4) ◽  
pp. 5389-5400 ◽  
Author(s):  
J. Moreno-Pérez ◽  
A. Bonilla-Petriciolet ◽  
D.I. Mendoza-Castillo ◽  
H.E. Reynel-Ávila ◽  
Y. Verde-Gómez ◽  
...  
Keyword(s):  
Neural Network ◽  
Heavy Metals ◽  
Artificial Neural Network ◽  
Surrogate Modeling ◽  
Dynamic Adsorption ◽  
Artificial Neural

Study of two different biological insect eye maps with artificial neural network processing

1995 ◽  
Author(s):  
Roy E. Williams ◽  
Ronald G. Driggers ◽  
William R. Clayton ◽  
Laura Anderson ◽  
Carl E. Halford
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Artificial Neural ◽  
Insect Eye ◽  
Network Processing

scholarly journals Enhancement of heavy metals sorption via nanocomposites of rice straw and Fe3O4 nanoparticles using artificial neural network (ANN)

2016 ◽  
Vol 91 ◽  
pp. 249-256 ◽  
Author(s):  
Roshanak Khandanlou ◽  
Hamid Reza Fard Masoumi ◽  
Mansor B. Ahmad ◽  
Kamyar Shameli ◽  
Mahiran Basri ◽  
...  
Keyword(s):  
Neural Network ◽  
Heavy Metals ◽  
Artificial Neural Network ◽  
Rice Straw ◽  
Fe3o4 Nanoparticles ◽  
Artificial Neural ◽  
Artificial Neural Network Ann
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