Application an Artificial Neural Network for Prediction of Substances Solubility

Pushkarova, Yaroslava; Panchenko, V. G.; Kholin, Yu. V.

doi:10.1109/eurocon52738.2021.9535593

Cited by 3 publications

(2 citation statements)

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“…There exist numerous applications of ANNs in data analysis, adaptive control, prediction, classification, identification, etc. [1,2].…”

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confidence: 99%

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Application of Artificial Neural Networks for Solving Pharmaceutical Issues

Kaliuzhenko

Pushkarova²

2023

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Nowadays, modern analytical instruments allow producing great amounts of information for a large number of samples (objects) that can be analyzed in relatively short time. This leads to the availability of multivariate data matrices that require the use of mathematical and statistical procedures, in order to efficiently extract the maximum useful information from data. When processing the data obtained as a result of the chromatographic analysis and various spectroscopic methods, as well as sensory systems, such as the electronic nose and electronic tongue, one cannot avoid applying modern chemometric methods, e.g., pattern recognition and classification algorithms, discriminative analysis, and artificial neural networks.

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“…There exist numerous applications of ANNs in data analysis, adaptive control, prediction, classification, identification, etc. [1,2].…”

mentioning

confidence: 99%

“…Artificial neurons are connected with weights and form input, hidden and output layers. Neurons process information and these signals are transfer to the next layer by means of linear or non-linear activation functions [1][2][3].…”

mentioning

confidence: 99%