Modeling of competitive ultrasonic assisted removal of the dyes–Methylene blue and Safranin-O using Fe3O4 nanoparticles
The study was focused on the simultaneous removal of Methylene blue (MB) and Safranin-O
(SO), as most together hazardous dye in wastewater, from aqueous solution by ultra-sonic …
(SO), as most together hazardous dye in wastewater, from aqueous solution by ultra-sonic …
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
Simultaneous spectrophotometric determination of maltol, ethyl maltol, vanillin and ethyl vanillin in foods by multivariate calibration and artificial neural networks
Y Ni, G Zhang, S Kokot - Food chemistry, 2005 - Elsevier
Maltol (MAL), ethyl maltol (EMA), vanillin (VAN) and ethyl vanillin (EVA) are food additives,
and they have well defined UV spectra. However, these overlapped seriously, and it is …
and they have well defined UV spectra. However, these overlapped seriously, and it is …
Simulation of an industrial wastewater treatment plant using artificial neural networks and principal components analysis
This work presents a way to predict the biochemical oxygen demand (BOD) of the output
stream of the biological wastewater treatment plant at RIPASA S/A Celulose e Papel, one of …
stream of the biological wastewater treatment plant at RIPASA S/A Celulose e Papel, one of …
Artificial neural networks based on principal component analysis input selection for clinical pattern recognition analysis
YX Zhang - Talanta, 2007 - Elsevier
Two clinical data sets were applied for pattern recognition in order to discover the correlation
between urinary nucleoside profiles and tumours. One data set contains 168 clinical urinary …
between urinary nucleoside profiles and tumours. One data set contains 168 clinical urinary …
Determination of iron in natural and mineral waters by flame atomic absorption spectrometry
S Tautkus, L Steponeniene… - Journal of the Serbian …, 2004 - doiserbia.nb.rs
Simple methods for the determination of Fe in natural and mineral waters by flame atomic
absorption spectrometry (AAS) are suggested. The results of the investigation of selectivity of …
absorption spectrometry (AAS) are suggested. The results of the investigation of selectivity of …
[PDF][PDF] Artificial neural networks (ANNs) in food science–A review
S Goyal - International Journal of Scientific World, 2013 - Citeseer
Abstract Artificial Neural Networks (ANNs) have been applied in several areas, viz., science
and technology, engineering, agriculture, life sciences and medicine as they have a …
and technology, engineering, agriculture, life sciences and medicine as they have a …
Competitive adsorption of methylene blue and brilliant green onto graphite oxide nano particle following: derivative spectrophotometric and principal component …
N Zeinali, M Ghaedi, G Shafie - Journal of Industrial and Engineering …, 2014 - Elsevier
In this work, the competitive adsorption of methylene blue (MB) and brilliant green (BG) onto
graphite oxide (GO) nanoparticles followed by their accurate and reproducible determination …
graphite oxide (GO) nanoparticles followed by their accurate and reproducible determination …
Artificial neural networks based on principal component analysis input selection for quantification in overlapped capillary electrophoresis peaks
Y Zhang, H Li, A Hou, J Havel - Chemometrics and Intelligent Laboratory …, 2006 - Elsevier
The application of three different kinds of artificial neural networks (ANN) based on principal
component analysis (PCA) input selection for quantification of overlapped peaks in micellar …
component analysis (PCA) input selection for quantification of overlapped peaks in micellar …
A methodology for modeling batch reactors using generalized dynamic neural networks
MN Kashani, S Shahhosseini - Chemical Engineering Journal, 2010 - Elsevier
This paper presents a methodology based on the application of dynamic artificial neural
networks (DANNs) for modeling batch reactors. The network structure was designed by a …
networks (DANNs) for modeling batch reactors. The network structure was designed by a …