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Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) …
The use of ethanol and biodiesel, which are alternative fuels or biofuels, has increased in
the last few years. Modern official standards list 25 parameters that must be determined to …
the last few years. Modern official standards list 25 parameters that must be determined to …
Multi-objective optimization of material removal rate and surface roughness in wire electrical discharge turning
SA Krishnan, GL Samuel - The International Journal of Advanced …, 2013 - Springer
Wire electrical discharge turning (WEDT) is an emerging area, and it can be used to
generate cylindrical forms on difficult to machine materials by adding a rotary axes to …
generate cylindrical forms on difficult to machine materials by adding a rotary axes to …
[KSIĄŻKA][B] Encyclopedia of business analytics and optimization
J Wang - 2014 - books.google.com
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big
Data-volume, variety, velocity, volatility, and veracity-and focus these dimensions towards …
Data-volume, variety, velocity, volatility, and veracity-and focus these dimensions towards …
Near-infrared (NIR) spectroscopy for biodiesel analysis: fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum
An effective calibration model of biodiesel fuel properties prediction, based on near-infrared
(NIR) spectroscopy data and an artificial neural network (ANN), was built. Biodiesel samples …
(NIR) spectroscopy data and an artificial neural network (ANN), was built. Biodiesel samples …
[HTML][HTML] Classification of biodiesel using NIR spectrometry and multivariate techniques
This article describes the classification of biodiesel samples using NIR spectroscopy and
chemometric techniques. A total of 108 spectra of biodiesel samples were taken (being three …
chemometric techniques. A total of 108 spectra of biodiesel samples were taken (being three …
Prediction of Toxicity of Phenols Using Artificial Neural Networks
In studies of various aspects of experimental determination of toxicity, it becomes very
important to apply calculation methods to predict these indicators, which allows to assess in …
important to apply calculation methods to predict these indicators, which allows to assess in …
The classification of solvents based on solvatochromic characteristics: the choice of optimal parameters for artificial neural networks
Y Pushkarova, Y Kholin - Open Chemistry, 2012 - degruyter.com
Abstract The Taft-Kamlet-Abboud hydrogen-bond acidity, hydrogen-bond basicity and
polarity-polarizability are widely used as empirical characteristics of solvent-solute …
polarity-polarizability are widely used as empirical characteristics of solvent-solute …
[HTML][HTML] Prediction of the hypertension risk of the elderly in built environments based on the LSTM deep learning and bayesian fitting method
R Zhu, Y Lv, Z Wang, X Chen - Sustainability, 2021 - mdpi.com
Hypertension has become the greatest risk factor for death in elderly populations. As factors
influencing cardiovascular disease, indoor environmental parameters pose potential risks …
influencing cardiovascular disease, indoor environmental parameters pose potential risks …
[HTML][HTML] The use of UV-visible reflectance spectroscopy as an objective tool to evaluate pearl quality
Assessing the quality of pearls involves the use of various tools and methods, which are
mainly visual and often quite subjective. Pearls are normally classified by origin and are …
mainly visual and often quite subjective. Pearls are normally classified by origin and are …
Performance comparison of meta-heuristic algorithms for training artificial neural networks in modelling laser cutting
The application of artificial neural networks (ANNs) for modelling laser cutting is broad and
ever increasing. The practical application of ANNs is mostly dependent on the success of the …
ever increasing. The practical application of ANNs is mostly dependent on the success of the …