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Artificial Intelligence Proficient Systems with Neural Network Machine Learning Algorithms in Nanoparticle Size Prediction Application
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| Author:
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P.MUTHU , S. P. ANGELINE KIRUBHA
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| Abstract:
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Artificial Intelligence (AI) indicates the usage of a computer to model intellectual performance with least
human intercession. Modern progress in nanoparticle technology has facilitated the preparation of nanoparticle
with a distinct size which in turn has expedited significant improvements in the field of nanomedicine.
Predicting this characteristic would leap numerous preceding studies customarily needed to optimize
formulations. This paper intends to develop Artificial Neural Network (ANN) for predicting the size of the
silver nanoparticle (AgNP) with four input variables. Different algorithms were applied to train ANNs with
several numbers of hidden layers, nodes and transfer functions by arbitrary selection. The estimation
performance of the different model was evaluated, on training, validation and testing data sets in terms of
Regression (R) and Mean Square Error (MSE). The optimized prediction model was proficient in predicting
nanoparticle size for a broad range of conditions with better R and MSE values. The relative impact of each
input variables on AgNP size was also determined. Results from this study contribute to design an effective
green approach for obtaining nanoparticles, while the limited received materials are employed, and the merest
size of nanoparticles will be achieved.
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| Keyword:
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Neural network, Regression, Mean Square Error, Nanoparticle
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| EOI:
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| DOI:
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