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Optimization of silk yarn hierarchical structure by genetic algorithm to design scaffolds

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Title Statement Optimization of silk yarn hierarchical structure by genetic algorithm to design scaffolds
 
Added Entry - Uncontrolled Name Naghashzargar, Elham ; Isfahan University of Technology
Semnani, Dariush ; Isfahan University of Technology
Karbasi, Saeed ; Isfahan University of Medical Sciences
 
Uncontrolled Index Term Artificial neural network; Genetic algorithm; Mechanical properties; Scaffolds, Silk;Tissue engineering
 
Summary, etc. <p class="Abstract" style="text-align: justify;">A genetic algorithm model has been developed to determine the optimal parameters of mechanical aspects of a silk wire-rope scaffold with the highest predictive accuracy and generalized ability simultaneously. The study pioneered on employing a genetic algorithm (GA) to optimize the parameters of scaffold in tendon and ligament tissue engineering. Experimental results show that the GA model performs the best predictive accuracy to imply mechanical behavior with native values successfully.</p>
 
Publication, Distribution, Etc. Indian Journal of Fibre & Textile Research (IJFTR)
2015-04-20 15:30:18
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJFTR/article/view/3697
 
Data Source Entry Indian Journal of Fibre & Textile Research (IJFTR); ##issue.vol## 40, ##issue.no## 1 (2015): Indian Journal of Fibre & Textile Research
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJFTR/article/download/3697/7173
http://op.niscair.res.in/index.php/IJFTR/article/download/3697/7174
http://op.niscair.res.in/index.php/IJFTR/article/download/3697/7354
http://op.niscair.res.in/index.php/IJFTR/article/download/3697/7355