Research on parameters optimisation of SVM based on swarm intelligence

Support vector machine (SVM) is a new machine learning method based on statistical learning theory, which has become a hot research topic in the field of machine learning because of its excellent performance.However, the performance of SVM is very sensitive to its parameters.At present, swarm intelligence is the most common method to optimise the parameters of SVM.In this paper, the research on parameters optimisation of SVM based on swarm intelligence algorithms is reviewed.Firstly, we briefly introduce the theoretical basis of SVM.Secondly, we describe the latest progress of parameters optimisation of SVM based on swarm intelligence in recent years.Finally, we point out the research and development prospects of this kind of method.