Technical Status Evaluation of Armored Equipment Based on Modified Multi-class Cluster Support Vector Machine

Considering the parameter setting of Multi-class Cluster Support Vector Machine ( MCSVM ) lacks scientific basis and parameter selection is much more random , the cuckoo search algorithm is used to improve the MCSVM , and the improved MCSVM is applied to technical status evaluation of armored e-quipment.Finally, through comparing with Particle Swarm Optimization (PSO) MCSVM and Genetic Al-gorithm ( GA) MCSVM, the feasibility and rationality of cuckoo search MCSVM are verified in the tech-nical status evaluation of armored equipment .