Aiming at problem that extreme learning machine（ELM） needs numerous hidden layer nodes in training process

a new improved differential evolution and clone artificial bee colony（ABC） optimized extreme learning machine（DECABC-ELM） is proposed. In DECABC-ELM

differential evolution mutation operator of differential evolution algorithm and clone-increase operator of immune clonal algorithm are introduced into ABC algorithm to improve the slow convergence speed of it

then the improved ABC is used to calculate the hidden layer node parameters of ELM.DECABC-ELM are used in regression and classification data set and compare with other algorithms

it shows that DECABC-ELM performs better than other algorithms.