Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices

View Sample PDF

Author(s): Yos S. Morsi (Swinburne University, Australia)and Subrat Das (Swinburne University, Australia)
Copyright: 2006
Pages: 22
Source title: Neural Networks in Healthcare: Potential and Challenges
Source Author(s)/Editor(s): Rezaul Begg (Victoria University, Australia), Joarder Kamruzzaman (Monash University, Australia)and Ruhul Sarker (University of New South Wales, Australia)
DOI: 10.4018/978-1-59140-848-2.ch012

Keywords: Computer Science & IT / Health Information Systems / Medical Information Science Reference / Neural Networks

Purchase

View Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices on the publisher's website for pricing and purchasing information.

Abstract

This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the concept of mathematical modeling and its use for solving engineering problems is presented followed by an introduction to CFD with a brief summary of the numerical techniques currently available. A brief introduction to the standard optimization strategies for NN and the various methodologies in use are also presented. A case study of the design and optimization of scaffolds for tissue engineering heart valve using the combined CFD and NN approach is presented and discussed. This chapter concludes with a discussion of the advantages and disadvantages of the combined NN and CFD techniques and their future potential prospective.

The IRMA Community

Research IRM

Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices

Purchase

Abstract

Related Content

IRMA Sponsors