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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 12/2019

17.04.2019 | Original Article

Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels

verfasst von: Iftikhar Ahmad, Hira Ilyas, Aysha Urooj, Muhammad Saeed Aslam, Muhammad Shoaib, Muhammad Asif Zahoor Raja

Erschienen in: Neural Computing and Applications | Ausgabe 12/2019

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Abstract

This article presents a methodology to solve a one-dimensional steady-state nonlinear reactive transport model (RTM) that is meant for fluid and solute transport model of soft tissues and microvessels. The methodology integrates the artificial neural network (ANN), genetic algorithms (GAs), and pattern search (PS) aided by active-set technique (AST) and interior-point technique (IPT). The RTM is represented with nonlinear second-order system based on the boundary value problem of ordinary differential equation. The ANN modeling is used for governing expression of RTM to form a fitness function in mean square sense, and optimization solvers based on the GA, PS, GA-AST, GA-IPT, PS-AST, PS-IPT are used for viable learning of weights. Proposed techniques are applied to different nonlinear RTMs based on variation in the characteristic reaction rate and half-saturation concentration. The proposed stochastic numerical solutions are compared with state-of-the-art solvers in order to check the accuracy and convergence based on sufficient large multiple runs of the algorithms.
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Metadaten
Titel
Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels
verfasst von
Iftikhar Ahmad
Hira Ilyas
Aysha Urooj
Muhammad Saeed Aslam
Muhammad Shoaib
Muhammad Asif Zahoor Raja
Publikationsdatum
17.04.2019
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 12/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04203-y

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