Dong Qing1,*, Qi Song1, Shuangyun Huang2, Gening Xu1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2345-2370, 2023, DOI:10.32604/cmes.2023.026552
Abstract For the randomness of crane working load leading to the decrease of load spectrum prediction accuracy with time,
an adaptive TSSA-HKRVM model for crane load spectrum regression prediction is proposed. The heterogeneous
kernel relevance vector machine model (HKRVM) with comprehensive expression ability is established using
the complementary advantages of various kernel functions. The combination strategy consisting of refraction
reverse learning, golden sine, and Cauchy mutation + logistic chaotic perturbation is introduced to form a
multi-strategy improved sparrow algorithm (TSSA), thus optimizing the relevant parameters of HKRVM. The
adaptive updating mechanism of the heterogeneous kernel RVM model under the multi-strategy improved… More >
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