ArticleScientific reports2020
MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
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- A predictive model for electrospun based Polyvinyl alcohol (PVA) nanofibers diameter using an artificial neural network.Scientific reports · 2025Article
- Butylphthalide identified via Samul-tang-induced transcriptomic signatures improves oocyte quality in aged mice.npj aging · 2025Article
- Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds.Scientific reports · 2024Article
- Optimising the manufacturing of a β-Ti alloy produced via direct energy deposition using small dataset machine learning.Scientific reports · 2024Article
- Article
- Prediction of breast dose in chest CT examinations using adaptive neuro-fuzzy inference system (ANFIS).Physical and engineering sciences in medicine · 2023Article
- Artificial Neural Networks for Predicting the Diameter of Electrospun Nanofibers Synthesized from Solutions/Emulsions of Biopolymers and Oils.Materials (Basel, Switzerland) · 2023Article
- Machine learning and 3D bioprinting.International journal of bioprinting · 2023Article
- TSF-transformer: a time series forecasting model for exhaust gas emission using transformer.Applied intelligence (Dordrecht, Netherlands) · 2022Article
- Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models.Journal of animal science and biotechnology · 2022Article
- Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model.Scientific reports · 2022Article
- UV protection properties of workwear fabrics coated with TiOFrontiers in public health · 2022Article
- A comparison of artificial intelligence techniques for predicting hyperforin content inPlant direct · 2021Article
- Neural network-crow search model for the prediction of functional properties of nano TiOScientific reports · 2021Article
- Prediction of functional properties of nano [Formula: see text] coated cotton composites by artificial neural network.Scientific reports · 2021Article
- Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks.Plant methods · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (R
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Registered trials
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