Comparison of multiple linear regression and artificial neural network in developing the objective functions of the orthopaedic screws
- 1 December 2011
- journal article
- research article
- Published by Elsevier in Computer Methods and Programs in Biomedicine
- Vol. 104 (3) , 341-348
- https://doi.org/10.1016/j.cmpb.2010.11.004
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Parametric Analysis of Orthopedic Screws in Relation to Bone DensityThe Open Medical Informatics Journal, 2009
- Optimum operating conditions for heat and mass transfer in foodstuffs drying by means of neural network inverseFood Control, 2008
- Multiobjective optimization of tibial locking screw design using a genetic algorithm: Evaluation of mechanical performanceJournal of Orthopaedic Research, 2006
- Structural optimization design for large mirrorOptics and Lasers in Engineering, 2004
- Should Insertion of Intramedullary Nails for Tibial Fractures Be With or Without Reaming?Journal of Orthopaedic Trauma, 2004
- Treatment of Thoracolumbar Burst Fractures with Polymethyl Methacrylate Vertebroplasty and Short-segment Pedicle Screw FixationNeurosurgery, 2003
- Analysis and optimization of a composite leaf springComposite Structures, 2003
- Screw Pullout Strength: A Biomechanical Comparison of Large-fragment and Small-fragment Fixation in the Tibial PlateauJournal of Orthopaedic Trauma, 2002
- Unreamed Locked Tight-fitting Nailing for Acute Tibial FracturesJournal of Orthopaedic Trauma, 2001
- Strength and Fatigue Resistance of Thoracolumbar Spine ImplantsJournal of Spinal Disorders, 1999