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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Artificial Intelligence Proficient Systems with Neural Network Machine Learning Algorithms in Nanoparticle Size Prediction Application

Author: P.MUTHU , S. P. ANGELINE KIRUBHA
Abstract: 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.
Keyword: Neural network, Regression, Mean Square Error, Nanoparticle
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