Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications

Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications Publisher Pubmed

Kalantary S¹ ; Jahani A² ; Jahani R³

Show Affiliations

1. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, 1416753955, Iran
2. Department of Natural Environment and Biodiversity, Faculty of Environment, College of Environment, Karaj, 31746118, Iran
3. Department of Toxicology and Pharmacology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, 1416753955, Iran

Source: Scientific Reports Published:2020

Abstract

Fiber diameter plays an important role in the properties of electrospinning of nanofibers. However, one major problem is the lack of a comprehensive method that can link processing parameters to nanofibers’ diameter. The objective of this study is to develope an artificial neural network (ANN) modeling and multiple regression (MLR) analysis approaches to predict the diameter of nanofibers. Processing parameters, including weight ratio, voltage, injection rate, and distance, were considered as independent variables and the nanofiber diameter as the dependent variable of the ANN model. The results of ANN modeling, especially its high accuracy (R2 = 0.959) in comparison with MLR results (R2 = 0.564), introduced the prediction the diameter of nanofibers model (PDNFM) as a comparative model for predicting the diameter of poly (3-caprolactone) (PCL)/gelatin (Gt) nanofibers. According to the result of sensitivity analysis of the model, the values of weight ratio, distance, injection rate, and voltage, respectively, were identified as the most significant parameters which influence PDNFM. © 2020, The Author(s).

Related Docs

View other Related Docs

1. Application of Ann Modeling Techniques in the Prediction of the Diameter of Pcl/Gelatin Nanofibers in Environmental and Medical Studies, RSC Advances (2019)

2. Assessment of Electrospinning Antioxidant Nanofibers in Skin Exposure to Oxidative Stress, Journal of Mazandaran University of Medical Sciences (2020)

3. Evaluation Resistance Levels of the Pcl/Gt Nanofiber Mats During Exposure to Pahs for Use in the Occupational Setting, SN Applied Sciences (2019)

4. Preparation and Optimization of Chitosan/Polyethylene Oxide Nanofiber Diameter Using Artificial Neural Networks, Neural Computing and Applications (2017)

5. Forecasting Ozone Density in Tehran Air Using a Smart Data-Driven Approach, Journal of Health and Safety at Work (2020)

6. A Systematic Review: Investigation of Occupational Studies Performed by Environmental Heat Stress Indices in Iran, Journal of Health and Safety at Work (2019)

7. Using an Artificial Neural Network for the Evaluation of the Parameters Controlling Pva/Chitosan Electrospun Nanofibers Diameter, E-Polymers (2015)

8. An Application of Artificial Intelligence Techniques in Prediction of Birds Soundscape Impact on Tourists’ Mental Restoration in Natural Urban Areas, Urban Forestry and Urban Greening (2021)

Experts (# of related papers)

View all Related Experts

Saba Kalantary (7)

Mahdi Adabi (5)

Style	Citing Format
MLA	Kalantary S, Jahani A, Jahani R. "Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications." Scientific Reports, vol. 10, no. 1, 2020, pp. -.
APA	Kalantary S, Jahani A, Jahani R (2020). Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications. Scientific Reports, 10(1), -.
Chicago	Kalantary S, Jahani A, Jahani R. "Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications." Scientific Reports 10, no. 1 (2020): -.
Harvard	Kalantary S, Jahani A, Jahani R (2020) 'Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications', Scientific Reports, 10(1), pp. -.
Vancouver	Kalantary S, Jahani A, Jahani R. Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications. Scientific Reports. 2020;10(1):-.
BibTex	@article{ author = {Kalantary S and Jahani A and Jahani R}, title = {Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications}, journal = {Scientific Reports}, volume = {10}, number = {1}, pages = {-}, year = {2020} }
RIS	TY - JOUR AU - Kalantary S AU - Jahani A AU - Jahani R TI - Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications JO - Scientific Reports VL - 10 IS - 1 SP - EP - PY - 2020 ER -

Science Communicator Platform

Authors

Authors Affiliations

Abstract