Multiobjective optimization design of spinal pedicle screws using neural networks and genetic algorithm: mathematical models and mechanical validation

HIGHLIGHTS

  • who: Mechanical Validation and collaborators from the Department of Engineering, National Taiwan University of Science and Technology , have published the research work: Multiobjective Optimization Design of Spinal Pedicle Screws Using Neural Networks and Genetic Algorithm: Mathematical Models and Mechanical Validation, in the Journal: (JOURNAL)
  • what: In this study using the three-dimensional finite element (FE) analytical results based on an L25 orthogonal array bending and pullout objective functions were developed by an artificial neural network (ANN) algorithm and the trade-off solutions known as Pareto optima were explored by a genetic algorithm (GA). In the . . .

     

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