Combining features of negative correlation learning with mixture of experts in proposed ensemble methods

► Comparative investigation of the advantages and disadvantages of the NCL and ME methods. ► Presentation of two improved hybrid ensemble method to include features of both NCL and ME. ► In the first approach, a dynamic combiner of ME is used to combine the outputs of base experts in the NCL method to model the local competence of each expert. ► In the second approach, the capability of a control parameter for NCL is incorporated in the error function of ME to establish better balance in bias-variance-covariance trade-offs.