Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

Three optimization-algorithm based support vector machines for damage detection exhibited significantly improvement in sensitivity, accuracy and effectiveness over conventional methods, and the genetic algorithm based SVM had a better prediction than other methods.