2019RSC AdvancesOpen access

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Saba Kalantary, Ali Jahani, Reza Pourbabaki, Zahra Beigzadeh

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Abstract

A new tool for prediction the diameter of nanofibers is presented: the use of adaptive modeling techniques to predict fiber diameter and study the impact of electrospinning process parameters on electrospinning fiber diameter.

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What this paper is about

A new tool for prediction the diameter of nanofibers is presented: the use of adaptive modeling techniques to predict fiber diameter and study the impact of electrospinning process parameters on electrospinning fiber diameter.

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OpenAlex reports 81 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new tool for prediction the diameter of nanofibers is presented: the use of adaptive modeling techniques to predict fiber diameter and study the impact of electrospinning process parameters on electrospinning fiber diameter.

Key concepts: Nanofiber, Electrospinning, Gelatin, Support vector machine, Radial basis function, Materials science, Multilayer perceptron, Computer science

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Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies — Research Paper | ScholarLens