ArticleRSC advances2019
Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies.
Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
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- AI-Driven Image Analysis for Nanofiber Characterization: From Diameter Measurement to Multiparameter Assessment.ACS omega · 2026Review
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- A predictive model for electrospun based Polyvinyl alcohol (PVA) nanofibers diameter using an artificial neural network.Scientific reports · 2025Article
- Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds.Scientific reports · 2024Article
- PCL/Gelatin/Graphene Oxide Electrospun Nanofibers: Effect of Surface Functionalization on In Vitro and Antibacterial Response.Nanomaterials (Basel, Switzerland) · 2023Article
- Machine learning and 3D bioprinting.International journal of bioprinting · 2023Article
- Optimization and prediction of tribological behaviour of filled polytetrafluoroethylene composites using Taguchi Deng and hybrid support vector regression models.Scientific reports · 2022Article
- Artificial intelligence accuracy assessment in NOScientific reports · 2021Article
- Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques.Scientific reports · 2021Article
- Article
- Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach.BMC ecology · 2020Article
- MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications.Scientific reports · 2020Article
- Data on optimal operation of Safarud Reservoir using symbiotic organisms search (SOS) algorithm.Data in brief · 2020Article
- Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city).MethodsX · 2020Article
- Novel Application of Near-infrared Spectroscopy and Chemometrics Approach for Detection of Lime Juice Adulteration.Iranian journal of pharmaceutical research : IJPR · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prediction of the diameter of a nanofiber is very difficult, owing to complexity of the interactions of the parameters which have an impact on the diameter and the fact that there is no comprehensive method to predict the diameter of a nanofiber. Therefore, the aim of this study was to compare the multi-layer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) models to develop mathematical models for the diameter prediction of poly(ε-caprolactone) (PCL)/gelatin (Gt) nanofibers. Four parameters, namely, the weight ratio, applied voltage, injection rate, and distance, were considered as input data. Then, a prediction of the diameter for the nanofiber model (PDNFM) was developed using data mining techniques such as MLP, RBFNN, and SVM. The PDNFM
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